{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import tushare as ts\n",
    "import talib as ta\n",
    "import pandas as pd\n",
    "from datetime import datetime\n",
    "\n",
    "pro = ts.pro_api('0ba8feef618e5db7b1ebb65538fe51e4aef69fb3cbf709d44128f313')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    }\n",
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       "        text-align: right;\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ts_code</th>\n",
       "      <th>pre_close</th>\n",
       "      <th>pre_settle</th>\n",
       "      <th>open</th>\n",
       "      <th>high</th>\n",
       "      <th>low</th>\n",
       "      <th>close</th>\n",
       "      <th>settle</th>\n",
       "      <th>change1</th>\n",
       "      <th>change2</th>\n",
       "      <th>vol</th>\n",
       "      <th>amount</th>\n",
       "      <th>oi</th>\n",
       "      <th>oi_chg</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>trade_date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2021-01-27</th>\n",
       "      <td>EG2201.DCE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4360.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4360.0</td>\n",
       "      <td>4360.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-28</th>\n",
       "      <td>EG2201.DCE</td>\n",
       "      <td>4360.0</td>\n",
       "      <td>4360.0</td>\n",
       "      <td>4437.0</td>\n",
       "      <td>4437.0</td>\n",
       "      <td>4437.0</td>\n",
       "      <td>4437.0</td>\n",
       "      <td>4437.0</td>\n",
       "      <td>77.0</td>\n",
       "      <td>77.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.44</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-29</th>\n",
       "      <td>EG2201.DCE</td>\n",
       "      <td>4437.0</td>\n",
       "      <td>4437.0</td>\n",
       "      <td>4547.0</td>\n",
       "      <td>4547.0</td>\n",
       "      <td>4462.0</td>\n",
       "      <td>4462.0</td>\n",
       "      <td>4504.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>9.01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-02-01</th>\n",
       "      <td>EG2201.DCE</td>\n",
       "      <td>4462.0</td>\n",
       "      <td>4504.0</td>\n",
       "      <td>4632.0</td>\n",
       "      <td>4632.0</td>\n",
       "      <td>4615.0</td>\n",
       "      <td>4615.0</td>\n",
       "      <td>4623.0</td>\n",
       "      <td>111.0</td>\n",
       "      <td>119.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>9.25</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-02-02</th>\n",
       "      <td>EG2201.DCE</td>\n",
       "      <td>4615.0</td>\n",
       "      <td>4623.0</td>\n",
       "      <td>4660.0</td>\n",
       "      <td>4660.0</td>\n",
       "      <td>4605.0</td>\n",
       "      <td>4605.0</td>\n",
       "      <td>4641.0</td>\n",
       "      <td>-18.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>13.92</td>\n",
       "      <td>2.0</td>\n",
       "      <td>-1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               ts_code  pre_close  pre_settle    open    high     low   close  \\\n",
       "trade_date                                                                      \n",
       "2021-01-27  EG2201.DCE        NaN      4360.0     NaN     NaN     NaN  4360.0   \n",
       "2021-01-28  EG2201.DCE     4360.0      4360.0  4437.0  4437.0  4437.0  4437.0   \n",
       "2021-01-29  EG2201.DCE     4437.0      4437.0  4547.0  4547.0  4462.0  4462.0   \n",
       "2021-02-01  EG2201.DCE     4462.0      4504.0  4632.0  4632.0  4615.0  4615.0   \n",
       "2021-02-02  EG2201.DCE     4615.0      4623.0  4660.0  4660.0  4605.0  4605.0   \n",
       "\n",
       "            settle  change1  change2  vol  amount   oi  oi_chg  \n",
       "trade_date                                                      \n",
       "2021-01-27  4360.0      0.0      0.0  0.0    0.00  0.0     NaN  \n",
       "2021-01-28  4437.0     77.0     77.0  1.0    4.44  1.0     1.0  \n",
       "2021-01-29  4504.0     25.0     67.0  2.0    9.01  1.0     0.0  \n",
       "2021-02-01  4623.0    111.0    119.0  2.0    9.25  3.0     2.0  \n",
       "2021-02-02  4641.0    -18.0     18.0  3.0   13.92  2.0    -1.0  "
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tscode = 'eg2201.DCE'\n",
    "df = pro.fut_daily(ts_code=tscode, start_date='20180101', end_date='20211125')\n",
    "df['trade_date'] = df['trade_date'].apply(lambda x: datetime.strptime(x,'%Y%m%d'))\n",
    "df = df.set_index('trade_date')\n",
    "df = df.sort_index()\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ts_code</th>\n",
       "      <th>pre_close</th>\n",
       "      <th>pre_settle</th>\n",
       "      <th>open</th>\n",
       "      <th>high</th>\n",
       "      <th>low</th>\n",
       "      <th>close</th>\n",
       "      <th>settle</th>\n",
       "      <th>change1</th>\n",
       "      <th>change2</th>\n",
       "      <th>vol</th>\n",
       "      <th>amount</th>\n",
       "      <th>oi</th>\n",
       "      <th>oi_chg</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>trade_date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2021-11-18</th>\n",
       "      <td>EG2201.DCE</td>\n",
       "      <td>5116.0</td>\n",
       "      <td>5101.0</td>\n",
       "      <td>5110.0</td>\n",
       "      <td>5128.0</td>\n",
       "      <td>4952.0</td>\n",
       "      <td>4965.0</td>\n",
       "      <td>5042.0</td>\n",
       "      <td>-136.0</td>\n",
       "      <td>-59.0</td>\n",
       "      <td>386237.0</td>\n",
       "      <td>1947607.52</td>\n",
       "      <td>214619.0</td>\n",
       "      <td>10862.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-11-19</th>\n",
       "      <td>EG2201.DCE</td>\n",
       "      <td>4965.0</td>\n",
       "      <td>5042.0</td>\n",
       "      <td>4965.0</td>\n",
       "      <td>5136.0</td>\n",
       "      <td>4883.0</td>\n",
       "      <td>5091.0</td>\n",
       "      <td>4992.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>-50.0</td>\n",
       "      <td>396160.0</td>\n",
       "      <td>1977926.74</td>\n",
       "      <td>217593.0</td>\n",
       "      <td>2974.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-11-22</th>\n",
       "      <td>EG2201.DCE</td>\n",
       "      <td>5091.0</td>\n",
       "      <td>4992.0</td>\n",
       "      <td>5000.0</td>\n",
       "      <td>5173.0</td>\n",
       "      <td>4961.0</td>\n",
       "      <td>5134.0</td>\n",
       "      <td>5089.0</td>\n",
       "      <td>142.0</td>\n",
       "      <td>97.0</td>\n",
       "      <td>331751.0</td>\n",
       "      <td>1688453.37</td>\n",
       "      <td>206134.0</td>\n",
       "      <td>-11459.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-11-23</th>\n",
       "      <td>EG2201.DCE</td>\n",
       "      <td>5134.0</td>\n",
       "      <td>5089.0</td>\n",
       "      <td>5166.0</td>\n",
       "      <td>5248.0</td>\n",
       "      <td>5116.0</td>\n",
       "      <td>5200.0</td>\n",
       "      <td>5178.0</td>\n",
       "      <td>111.0</td>\n",
       "      <td>89.0</td>\n",
       "      <td>263255.0</td>\n",
       "      <td>1363265.42</td>\n",
       "      <td>190908.0</td>\n",
       "      <td>-15226.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-11-24</th>\n",
       "      <td>EG2201.DCE</td>\n",
       "      <td>5200.0</td>\n",
       "      <td>5178.0</td>\n",
       "      <td>5200.0</td>\n",
       "      <td>5289.0</td>\n",
       "      <td>5180.0</td>\n",
       "      <td>5216.0</td>\n",
       "      <td>5232.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>250381.0</td>\n",
       "      <td>1310197.68</td>\n",
       "      <td>185819.0</td>\n",
       "      <td>-5089.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               ts_code  pre_close  pre_settle    open    high     low   close  \\\n",
       "trade_date                                                                      \n",
       "2021-11-18  EG2201.DCE     5116.0      5101.0  5110.0  5128.0  4952.0  4965.0   \n",
       "2021-11-19  EG2201.DCE     4965.0      5042.0  4965.0  5136.0  4883.0  5091.0   \n",
       "2021-11-22  EG2201.DCE     5091.0      4992.0  5000.0  5173.0  4961.0  5134.0   \n",
       "2021-11-23  EG2201.DCE     5134.0      5089.0  5166.0  5248.0  5116.0  5200.0   \n",
       "2021-11-24  EG2201.DCE     5200.0      5178.0  5200.0  5289.0  5180.0  5216.0   \n",
       "\n",
       "            settle  change1  change2       vol      amount        oi   oi_chg  \n",
       "trade_date                                                                     \n",
       "2021-11-18  5042.0   -136.0    -59.0  386237.0  1947607.52  214619.0  10862.0  \n",
       "2021-11-19  4992.0     49.0    -50.0  396160.0  1977926.74  217593.0   2974.0  \n",
       "2021-11-22  5089.0    142.0     97.0  331751.0  1688453.37  206134.0 -11459.0  \n",
       "2021-11-23  5178.0    111.0     89.0  263255.0  1363265.42  190908.0 -15226.0  \n",
       "2021-11-24  5232.0     38.0     54.0  250381.0  1310197.68  185819.0  -5089.0  "
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_ma_sma = get_df_smas(df, [5, 12])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>close</th>\n",
       "      <th>sma_5</th>\n",
       "      <th>sma_12</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>trade_date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2021-03-01</th>\n",
       "      <td>5161.0</td>\n",
       "      <td>5058.0</td>\n",
       "      <td>4827.416667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-02</th>\n",
       "      <td>4832.0</td>\n",
       "      <td>5050.6</td>\n",
       "      <td>4850.916667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-03</th>\n",
       "      <td>4946.0</td>\n",
       "      <td>5060.0</td>\n",
       "      <td>4877.250000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-04</th>\n",
       "      <td>4947.0</td>\n",
       "      <td>5026.8</td>\n",
       "      <td>4907.750000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-05</th>\n",
       "      <td>5002.0</td>\n",
       "      <td>4977.6</td>\n",
       "      <td>4944.250000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             close   sma_5       sma_12\n",
       "trade_date                             \n",
       "2021-03-01  5161.0  5058.0  4827.416667\n",
       "2021-03-02  4832.0  5050.6  4850.916667\n",
       "2021-03-03  4946.0  5060.0  4877.250000\n",
       "2021-03-04  4947.0  5026.8  4907.750000\n",
       "2021-03-05  5002.0  4977.6  4944.250000"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_ma_sma['2021-03':].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2016x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_curve(df_ma_sma['2021-03-25':'2021-04-15'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2016x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_curve(df_ma_sma)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>close</th>\n",
       "      <th>sma_5</th>\n",
       "      <th>sma_12</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>trade_date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2021-11-24</th>\n",
       "      <td>5216.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-11-23</th>\n",
       "      <td>5200.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-11-22</th>\n",
       "      <td>5134.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-11-19</th>\n",
       "      <td>5091.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-11-18</th>\n",
       "      <td>4965.0</td>\n",
       "      <td>5121.2</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-04-06</th>\n",
       "      <td>5030.0</td>\n",
       "      <td>4916.8</td>\n",
       "      <td>4864.750000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-04-02</th>\n",
       "      <td>5030.0</td>\n",
       "      <td>4972.8</td>\n",
       "      <td>4894.750000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-04-01</th>\n",
       "      <td>4914.0</td>\n",
       "      <td>4986.6</td>\n",
       "      <td>4903.333333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-31</th>\n",
       "      <td>4876.0</td>\n",
       "      <td>4970.0</td>\n",
       "      <td>4903.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-30</th>\n",
       "      <td>4944.0</td>\n",
       "      <td>4958.8</td>\n",
       "      <td>4903.916667</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>160 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             close   sma_5       sma_12\n",
       "trade_date                             \n",
       "2021-11-24  5216.0     NaN          NaN\n",
       "2021-11-23  5200.0     NaN          NaN\n",
       "2021-11-22  5134.0     NaN          NaN\n",
       "2021-11-19  5091.0     NaN          NaN\n",
       "2021-11-18  4965.0  5121.2          NaN\n",
       "...            ...     ...          ...\n",
       "2021-04-06  5030.0  4916.8  4864.750000\n",
       "2021-04-02  5030.0  4972.8  4894.750000\n",
       "2021-04-01  4914.0  4986.6  4903.333333\n",
       "2021-03-31  4876.0  4970.0  4903.500000\n",
       "2021-03-30  4944.0  4958.8  4903.916667\n",
       "\n",
       "[160 rows x 3 columns]"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_ma_sma[:'2021-03-30']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ts_code</th>\n",
       "      <th>trade_date</th>\n",
       "      <th>pre_close</th>\n",
       "      <th>pre_settle</th>\n",
       "      <th>open</th>\n",
       "      <th>high</th>\n",
       "      <th>low</th>\n",
       "      <th>close</th>\n",
       "      <th>settle</th>\n",
       "      <th>change1</th>\n",
       "      <th>change2</th>\n",
       "      <th>vol</th>\n",
       "      <th>amount</th>\n",
       "      <th>oi</th>\n",
       "      <th>oi_chg</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>EG2201.DCE</td>\n",
       "      <td>2021-11-24</td>\n",
       "      <td>5200.0</td>\n",
       "      <td>5178.0</td>\n",
       "      <td>5200.0</td>\n",
       "      <td>5289.0</td>\n",
       "      <td>5180.0</td>\n",
       "      <td>5216.0</td>\n",
       "      <td>5232.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>250381.0</td>\n",
       "      <td>1310197.68</td>\n",
       "      <td>185819.0</td>\n",
       "      <td>-5089.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>EG2201.DCE</td>\n",
       "      <td>2021-11-23</td>\n",
       "      <td>5134.0</td>\n",
       "      <td>5089.0</td>\n",
       "      <td>5166.0</td>\n",
       "      <td>5248.0</td>\n",
       "      <td>5116.0</td>\n",
       "      <td>5200.0</td>\n",
       "      <td>5178.0</td>\n",
       "      <td>111.0</td>\n",
       "      <td>89.0</td>\n",
       "      <td>263255.0</td>\n",
       "      <td>1363265.42</td>\n",
       "      <td>190908.0</td>\n",
       "      <td>-15226.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>EG2201.DCE</td>\n",
       "      <td>2021-11-22</td>\n",
       "      <td>5091.0</td>\n",
       "      <td>4992.0</td>\n",
       "      <td>5000.0</td>\n",
       "      <td>5173.0</td>\n",
       "      <td>4961.0</td>\n",
       "      <td>5134.0</td>\n",
       "      <td>5089.0</td>\n",
       "      <td>142.0</td>\n",
       "      <td>97.0</td>\n",
       "      <td>331751.0</td>\n",
       "      <td>1688453.37</td>\n",
       "      <td>206134.0</td>\n",
       "      <td>-11459.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>EG2201.DCE</td>\n",
       "      <td>2021-11-19</td>\n",
       "      <td>4965.0</td>\n",
       "      <td>5042.0</td>\n",
       "      <td>4965.0</td>\n",
       "      <td>5136.0</td>\n",
       "      <td>4883.0</td>\n",
       "      <td>5091.0</td>\n",
       "      <td>4992.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>-50.0</td>\n",
       "      <td>396160.0</td>\n",
       "      <td>1977926.74</td>\n",
       "      <td>217593.0</td>\n",
       "      <td>2974.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>EG2201.DCE</td>\n",
       "      <td>2021-11-18</td>\n",
       "      <td>5116.0</td>\n",
       "      <td>5101.0</td>\n",
       "      <td>5110.0</td>\n",
       "      <td>5128.0</td>\n",
       "      <td>4952.0</td>\n",
       "      <td>4965.0</td>\n",
       "      <td>5042.0</td>\n",
       "      <td>-136.0</td>\n",
       "      <td>-59.0</td>\n",
       "      <td>386237.0</td>\n",
       "      <td>1947607.52</td>\n",
       "      <td>214619.0</td>\n",
       "      <td>10862.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      ts_code trade_date  pre_close  pre_settle    open    high     low  \\\n",
       "0  EG2201.DCE 2021-11-24     5200.0      5178.0  5200.0  5289.0  5180.0   \n",
       "1  EG2201.DCE 2021-11-23     5134.0      5089.0  5166.0  5248.0  5116.0   \n",
       "2  EG2201.DCE 2021-11-22     5091.0      4992.0  5000.0  5173.0  4961.0   \n",
       "3  EG2201.DCE 2021-11-19     4965.0      5042.0  4965.0  5136.0  4883.0   \n",
       "4  EG2201.DCE 2021-11-18     5116.0      5101.0  5110.0  5128.0  4952.0   \n",
       "\n",
       "    close  settle  change1  change2       vol      amount        oi   oi_chg  \n",
       "0  5216.0  5232.0     38.0     54.0  250381.0  1310197.68  185819.0  -5089.0  \n",
       "1  5200.0  5178.0    111.0     89.0  263255.0  1363265.42  190908.0 -15226.0  \n",
       "2  5134.0  5089.0    142.0     97.0  331751.0  1688453.37  206134.0 -11459.0  \n",
       "3  5091.0  4992.0     49.0    -50.0  396160.0  1977926.74  217593.0   2974.0  \n",
       "4  4965.0  5042.0   -136.0    -59.0  386237.0  1947607.52  214619.0  10862.0  "
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      5216.0\n",
       "1      5200.0\n",
       "2      5134.0\n",
       "3      5091.0\n",
       "4      4965.0\n",
       "        ...  \n",
       "194    4605.0\n",
       "195    4615.0\n",
       "196    4462.0\n",
       "197    4437.0\n",
       "198    4360.0\n",
       "Name: close, Length: 199, dtype: float64"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.close"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "def get_df_smas(df, lenthlist):\n",
    "    df_temp = pd.DataFrame(df.close)\n",
    "    df_temp.index = df.index\n",
    "    for i in lenthlist:\n",
    "        df_temp['sma_'+ str(i)] = ta.SMA(df['close'], i)\n",
    "    \n",
    "    return df_temp\n",
    "\n",
    "def get_day_bbands(df):\n",
    "    df_bbands = pd.DataFrame(df['close'])\n",
    "    df_bbands['upper'], df_bbands['middle'], df_bbands['lower'] = ta.BBANDS(\n",
    "                df.close, \n",
    "                timeperiod=10,\n",
    "                # number of non-biased standard deviations from the mean\n",
    "                nbdevup= 2,\n",
    "                nbdevdn= 2,\n",
    "                # Moving average type: simple moving average here\n",
    "                matype=0)\n",
    "    df_bbands['signal_B'] = df_bbands['close'] <= df_bbands['lower']\n",
    "    df_bbands['signal_S'] = df_bbands['close'] >= df_bbands['upper']\n",
    "    return df_bbands\n",
    "\n",
    "\n",
    "def plot_curve(plot_dict):\n",
    "    \"\"\"\n",
    "    plot the net asset value curve\n",
    "    :param plot_dict: type--dict, {label name (str): time series data (pd.Series)}\n",
    "    :return: None\n",
    "    \"\"\"\n",
    "    import matplotlib.pyplot as plt\n",
    "    fig, ax = plt.subplots(figsize=(28, 8))\n",
    "    fig.patch.set_facecolor('white')\n",
    "    transparency_level = 1.\n",
    "    \n",
    "    for _ts_label, _ts_curve in plot_dict.items():\n",
    "        _ts_curve.plot(ax=ax, lw=1.5, label=_ts_label, alpha=transparency_level)\n",
    "    \n",
    "    ax.legend(loc='upper left', shadow=True)    \n",
    "\n",
    "    plt.show() \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_ma_sma = get_df_smas(df, [5, 12])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#df_ma_sma = df_ma_sma.dropna()\n",
    "# !python -m pip install --upgrade pip\n",
    "!pip install -U numpy\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>close</th>\n",
       "      <th>sma_5</th>\n",
       "      <th>sma_10</th>\n",
       "      <th>sma_20</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>5586.0</td>\n",
       "      <td>5641.8</td>\n",
       "      <td>5576.1</td>\n",
       "      <td>5384.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>6071.0</td>\n",
       "      <td>5714.0</td>\n",
       "      <td>5642.2</td>\n",
       "      <td>5428.35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>6257.0</td>\n",
       "      <td>5833.6</td>\n",
       "      <td>5720.1</td>\n",
       "      <td>5484.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>6303.0</td>\n",
       "      <td>5998.0</td>\n",
       "      <td>5809.3</td>\n",
       "      <td>5545.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>6507.0</td>\n",
       "      <td>6144.8</td>\n",
       "      <td>5903.7</td>\n",
       "      <td>5622.20</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     close   sma_5  sma_10   sma_20\n",
       "19  5586.0  5641.8  5576.1  5384.80\n",
       "20  6071.0  5714.0  5642.2  5428.35\n",
       "21  6257.0  5833.6  5720.1  5484.50\n",
       "22  6303.0  5998.0  5809.3  5545.10\n",
       "23  6507.0  6144.8  5903.7  5622.20"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_ma_sma.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>close</th>\n",
       "      <th>sma_5</th>\n",
       "      <th>sma_12</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>trade_date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2021-11-24</th>\n",
       "      <td>5216.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-11-23</th>\n",
       "      <td>5200.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-11-22</th>\n",
       "      <td>5134.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-11-19</th>\n",
       "      <td>5091.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-11-18</th>\n",
       "      <td>4965.0</td>\n",
       "      <td>5121.2</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-02-02</th>\n",
       "      <td>4605.0</td>\n",
       "      <td>4610.0</td>\n",
       "      <td>4689.750000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-02-01</th>\n",
       "      <td>4615.0</td>\n",
       "      <td>4607.0</td>\n",
       "      <td>4666.083333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-29</th>\n",
       "      <td>4462.0</td>\n",
       "      <td>4589.4</td>\n",
       "      <td>4632.166667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-28</th>\n",
       "      <td>4437.0</td>\n",
       "      <td>4547.4</td>\n",
       "      <td>4595.416667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-27</th>\n",
       "      <td>4360.0</td>\n",
       "      <td>4495.8</td>\n",
       "      <td>4568.916667</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>199 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             close   sma_5       sma_12\n",
       "trade_date                             \n",
       "2021-11-24  5216.0     NaN          NaN\n",
       "2021-11-23  5200.0     NaN          NaN\n",
       "2021-11-22  5134.0     NaN          NaN\n",
       "2021-11-19  5091.0     NaN          NaN\n",
       "2021-11-18  4965.0  5121.2          NaN\n",
       "...            ...     ...          ...\n",
       "2021-02-02  4605.0  4610.0  4689.750000\n",
       "2021-02-01  4615.0  4607.0  4666.083333\n",
       "2021-01-29  4462.0  4589.4  4632.166667\n",
       "2021-01-28  4437.0  4547.4  4595.416667\n",
       "2021-01-27  4360.0  4495.8  4568.916667\n",
       "\n",
       "[199 rows x 3 columns]"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_ma_sma"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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L7jB66syqEAJR4Wo2WCIiIiIiGgcMqxT0qtt6AABpowirCZHusDr0zOpQYRVw7rXKMmAiIiIiIt9jWKWgV93qCqsG78NqbMTIZcDDhdXocDUbLBERERERjQOGVQp6Y5lZVSsVMOjUwzZYcofVU7eucR5TocPEMmAiIiIiIl9jWKWgV9XaDaVCIDlKO6r7x0VoxlQGzAZLRERERES+x7BKQa+6tQfJUVqolKP7do7Xhw0bVt1lvtG6IdasMqwSEREREfkcwyoFveq2nlGVALvFR4aNWAasEIBeoxpwm7MMmGGViIiIiMjXGFYp6FW19oxq2xq3+AgNGoeZWW3rtiIqXA2FQgy4LTpcDZPVAbPNPuqvT0REREREAzGsUlCz2h2o7zAhfRSdgN3i9WEwmmwwWQcPnO091kHXqwInmy4Z2WSJiIiIiMinGFYpqNW1m+CQo+sE7Bbv2mu1pWvwUuBhw6pW3XsOERERERH5DsMqBbWq3j1WdaO+RtwIe60OP7PqXMfKJktERERERL7FsEpBraq1GwDGtmbVNbM6VFjt6LEOuscqcHJmlXutEhERERH5FsMqBbXqNufMaophdHusAkB8hDusel8G7D7OmVUiIiIiIt9iWKWgVt3ag8TIMISplKO+Rnzk0GXAUkqPGixx+xoiIiIiIt9iWKWgNtZtawBAp1FBp1EOutdqt8UOm0OywRIRERER0WnGsEpBrbqtB2kxo2+u5Ban1ww6s+oOoUOFVa1aAbVSoKOHa1aJiIiIiHyJYZWClt0hUdveg7Qx7LHqFq8PG1VYFUIgSqtmGTARERERkY8xrFLQajCaYLXLMe2x6havDxu0DHiksOq+jQ2WiIiIiIh8i2GVgla1a4/Vsa5ZBYD4UZYBA0BkuJpb1xARERER+RjDKgUt97Y16T4qA27pssDukP2OexJWo7QqNlgiIiIiIvIxhlUKWlWumVVflAHHRWjgkEBrd/9SYHd5b9RwYTVcDSPDKhERERGRTzGsUtCqau1BbIQGOo1qzNdKjnYGXndpsVt7jxUKAUSGDf012GCJiIiIiMj3GFYpaFW3+aYTMADkJUYAAMqbOvsdb++xIipcDYVCDHlfZ4MlG6SUQ55DRERERETeYViloFXd2u2zsJoZGwGlQqCsoavf8fYe67DrVQEgKlwFi90Bs83hk7EQERERERHDKgUpKaVzZtUH61UBQKNSYFKsDmWNA2dWRwyrWnXvuURERERE5BsMqxSUmrssMFkdPtm2xi0nQT+6sOq6nXutEhERERH5DsMqBSV3IyRflQEDQG5iBCqaumGznyznda9ZHU6U1tl8iU2WiIiIiIh8h2GVgpJ7j1VflQEDQG6CHha7o3dLHMA5WzrSzGp078yqzWdjISIiIiKa6BhWKShVtXYDANJjdD67Zm6CHgB6S4GllN6VAXNmlYiIiIjIZxhWKShVt/YgMkw1YpD0Rm6Cc/sad1jtsdphtUs2WCIiIiIi8gOPwqoQwiCEeFkIcVgIcUgIsVgI8WshRLUQYo/r47w+5/9UCFEqhDgihDinz/G1rmOlQoi7xuMB0cTgy07AbgadBvF6Te/2Ne7wOVJYjXSvWWVYJSIiIiLyGZWH5/0dwPtSysuFEBoAOgDnAPirlPJPfU8UQkwFcBWAaQBSAXwkhChw3fwQgLMBVAHYLoR4U0pZ7IPHQRNMVWuPT5srufXtCOxpWNWqlQhTKdBh4ppVIiIiIiJfGXFmVQgRDWA5gCcBQEppkVK2DXOXdQBelFKapZTHAJQCWOD6KJVSlkspLQBedJ1L5BUpJapbfT+zCjjXrfaG1W7Pwqr7HM6sEhERERH5jidlwNkAGgH8SwixWwjxhBAiwnXbHUKIfUKIp4QQMa5jaQAq+9y/ynVsqONEXmnsNMNotiE7PmLkk72UmxCB1m4rWrosaPNwZhVwNlligyUiIiIiIt/xJKyqAMwB8IiUcjaALgB3AXgEQC6AIgC1AP7siwEJIW4RQuwQQuxobGz0xSUpxLjXlLq79/pSbuLJjsCelgEDzr1W2WCJiIiIiMh3PAmrVQCqpJRfuv79MoA5Usp6KaVdSukA8E84y3wBoBpARp/7p7uODXW8Hynl41LKeVLKeQkJCd49GpoQ3GW6eYm+D6t57u1rGjp7y3qjPJ1Z5T6rREREREQ+M2JYlVLWAagUQhS6Dp0FoFgIkdLntEsAHHB9/iaAq4QQYUKIbAD5ALYB2A4gXwiR7WrSdJXrXCKvlDV2QqdRIjlK6/NrpxrCEaZS9M6sCgFEho3chyxKO7AMuKXLgtYui8/HSEREREQ0EXjaDfhOAP9xhcxyADcCeEAIUQRAAqgA8E0AkFIeFEK8BKAYgA3A7VJKOwAIIe4A8AEAJYCnpJQHffdQaKIoa+xCTkIEFArh82srFQLZ8REoa+xCekw4orRqj77OYA2Wrn9qGxIjw/DkDfN9Pk4iIiIiolDnUViVUu4BMO+Uw9cNc/7vAPxukOPvAnjXi/ERDVDW0Il5WTEjnzhKuYl6HKhuR6RW5dF6VQCIClehw2SDlBJCCBysacf+6nZMTo4ct3ESEREREYUyT9asEgWMbosN1W0949JcyS03QY/Klm40Gs2eh1WtGnaHRJfFDgB4ZadzOXZrN8uAiYiIiIhGg2GVgkp54/h1AnbLTYiAQwL7q9q9mFl1ntfRY4XV7sAbe1xhtcsKKeW4jZWIiIiIKFQxrFJQGc9OwG7uIGw027yaWQWADpMVnx1pRHOXBQuzY2GxO3pnW4mIiIiIyHMMqxRUyhq7oBDApDjduH2NnISI3s892bYGOLkXa0ePDa/srEK8XoN1RWkAwI7ARERERESjwLBKQaWssRMZsTpo1cpx+xo6jQpphnAAgEHneYMlADje3IWPD9djXVEaEiPDAHDdKhERERHRaDCsUlApa+gc1/Wqbu7ZVW/LgJ/78gSsdonL56YjJkIDwLnfKhEREREReYdhlYKG3SFR3tSF3D5luuPFHYi9bbC0t7INU1OiMCUlCjGuWVnOrBIREREReY9hlYJGdWsPLDbHaZlZzU30LqxGak9uWXzZ3HQAQGzvzKrVx6MjIiIiIgp9DKsUNE5HJ2C3aalRAICUaK1H56uVCug0SqgUAuuKUgE4S4MVAmjjzCoRERERkddUI59CFBjcYfV0zKzOyYzBR99fjrzESI/vkxylRV6iHvF6Z2MlhUIgRqfhmlUiIiIiolFgWKWgUdbYidgITW/jovHmTVAFgKe/vqC30ZKbQafmmlUiIiIiolFgWKWgUdZweporjVZG7MC9X2MjOLNKRERERDQaXLNKQaO08fRsW+NLMToN2rrZYImIiIiIyFsMqxQUWrosaOmyBF1Y5cwqEREREdHoMKxSUCg/jZ2Afcmg06C12wIppb+HQkREREQUVBhWKSiczk7AvhQboYbVLtFptvl7KEREREREQYVhlYJCWWMXNCoF0mLC/T0Ur8TonJ2LuW6ViIiIiMg7DKsUFMoaOpETHwGlQvh7KF6JdW2zw3WrRERERETeYViloBCMnYAB55pVAGjhXqtERERERF5hWKWAZzRZUdnSHdB7rA7FPbPayplVIiIiIiKvMKxSwPvdO4cAAKumJPl5JN6Ldc2stnLNKhERERGRVxhWKaCtL67Hi9srceuKXBRlGPw9HK9FalVQKgRnVomIiIiIvMSwSgGrqdOMu17Zh6kpUfju6gJ/D2dUFAoBQ7iaa1aJiIiIiLyk8vcAiAYjpcRdr+yH0WzDC1cVQaMK3vdVYiI0nFklIiIiIvJS8CYACmkv7ajER4fq8ZO1k1GQFOnv4YxJrE6DVs6sEhERERF5hWGVAk6j0YzfvFWMM3LjcOMZWf4ezpjFRKjR2sUGS0RERERE3mBYpYCz83grui12/PCcQigUwt/DGbMYnYZrVomIiIiIvMSwSgHnaL0RADA5ObjLf93ca1allP4eChERERFR0GBYpYBzpN6IzFgddJrQ6P8Vq9PA5pDoNNv8PRQiIiIioqDBsEoB52idMeibKvUVE6EBAK5bJSIiIiLyAsMqBRSzzY5jTV0oTNb7eyg+E6NTAwDXrRIREREReYFhlQLKsaYu2BwyRGdWGVaJiIiIiDzFsEoB5Uids7lSYYg0VwKca1YBcK9VIiIiIiIvMKxSQDlab4RKIZATH0JlwK6Z1RbOrBIREREReYxhlQLKkbpO5CREQKMKnW/NKK0KSoXgzCoRERERkRdCJxFQSDhaH1qdgAFACIEYnRot7AZMREREROQxhlUKGN0WG060dKMwxMIqAMToNGjjzCoRERERkccYVilglNR3AgAKQqi5kltMhGbAmtWath58eLDOTyMiIiIiIgpsDKsUMI7UuzoBh+DMaqxOM2DN6p8+PIJbn9sJi83hp1EREREREQUuhlUKGEfqjNCqFciI1fl7KD4XE9F/zardIfHp4QY4JFDfYfLjyIiIiIiIAhPDKgWMo/VG5CdGQqkQ/h6Kz7nXrEopAQC7TrSitdsZXqvbevw5NCIiIiKigMSwSgHjSF3odQJ2i43QwOaQMJptAICPDtX33lbDsEpERERENADDKgWE1i4LGoxmFCbr/T2UcRGj0wBwPk4A+Ki4HnMnxQAAattZBkxEREREdCqGVQoIR13NlUJ1ZjUmQg0AaOmyoKKpC2WNXbhgZgpiIzQsAyYiIiIiGgTDKgUEd1gtDMFta4A+M6vdlt4S4NVTkpASrWUZMBERERHRIBhWKSAcqTciUqtCcpTW30MZF7ER7jJgKz4+1IDCpEhkxOqQaghHbRvLgImIiIiITsWwSgHhaF0nCpMiIUTodQIGgBhXWK1o7sK2ihacNSURAJBmCOfMKhERERHRIBhWye+klDhSbwzZEmAAiAxTQaUQeH1PNewOibOmJAEAUqK1MJpt6DBZR7gCEREREdHEwrBKftdgNKO9xxrSYVUIAYNOg8qWHsTrNSjKMAAAUg3hAMBSYCIiIiKiUzCskt+5myvlJ4ZuWAWAWFdH4JWFiVAqnOXO7rDKUmAiIiIiov4YVsnvGjrMAIBUQ2g2V3JzdwR2lwADzjWrALh9DRERERHRKRhWye/ae5zrNaPD1X4eyfiKjdBAo1JgWX5877GEyDCoFAK17QyrRERERER9qfw9ACJ3WI3UhnZYvf6MLKwsTERE2MkfO6VCIClKixquWSUiIiIi6odhlfyuvceKyDBV7zrOULUoJw6LcuIGHE8zhLMMmIiIiIjoFCwDJr/r6LEiKsRLgIeTYtCyDJiIiIiI6BQehVUhhEEI8bIQ4rAQ4pAQYrEQIlYIsV4IUeL6b4zrXCGEeEAIUSqE2CeEmNPnOte7zi8RQlw/Xg+KgkuHyRry61WHk2oIR127CXaH9PdQiIiIiIgChqczq38H8L6UcjKAWQAOAbgLwMdSynwAH7v+DQDnAsh3fdwC4BEAEELEArgbwEIACwDc7Q64NLG19zCsWu0STZ1mfw+FiIiIiChgjBhWhRDRAJYDeBIApJQWKWUbgHUAnnad9jSAi12frwPwjHTaCsAghEgBcA6A9VLKFillK4D1ANb68LFQkJrwYTXauWUP91olIiIiIjrJk5nVbACNAP4lhNgthHhCCBEBIElKWes6pw6Ae/PINACVfe5f5To21HGa4CZ8WHXttcqOwEREREREJ3kSVlUA5gB4REo5G0AXTpb8AgCklBKATxbcCSFuEULsEELsaGxs9MUlKcC191gRrWNY5cwqEREREdFJnoTVKgBVUsovXf9+Gc7wWu8q74Xrvw2u26sBZPS5f7rr2FDH+5FSPi6lnCelnJeQkODNY6EgZLbZYbI6JvTMapRWhQiNEjXsCExERERE1GvEsCqlrANQKYQodB06C0AxgDcBuDv6Xg/gDdfnbwL4mqsr8CIA7a5y4Q8ArBFCxLgaK61xHaMJrL3HCgATeusaIQRSDeGcWSUiIiIi6kPl4Xl3AviPEEIDoBzAjXAG3ZeEEDcBOA7gCte57wI4D0ApgG7XuZBStggh7gWw3XXePVLKFp88CgpaHa6wOpFnVgG4wirXrBIRERERuXkUVqWUewDMG+SmswY5VwK4fYjrPAXgKS/GRyGud2ZV6+n7JqEp1RCOgzXt/h4GEREREVHA8HSfVaJx0c6ZVQDO7WuaOi0wWe3+HgoRERERUUBgWCW/6uixAWBYdXcErm1nKTAREREREcCwSn7GmVWn3rDKJktERERERAAYVsnP2A3YKdWgBQBUM6wSEREREQFgWCU/a++xIkKjhFo5sb8Vk6OdYZUdgYmIiIiInCZ2QiC/a++xTvgSYAAIUymREBnGvVaJiIiIiFwYVsmv2nusE74E2C01WouadoZVIiIiIiKAYZX8jDOrJ6UawjmzSkRERETkwrBKftXBmdVezrBqgpTS30MhIiIiIvI7hlXyK86snpQSrUWP1Y62bqu/h0JERERE5HcMq+RXDKsnZcTqAABVrSwFJiIiIiJiWCW/sdod6LbYGVZdMmKcYfVES7efR0JERERE5H8Mq+Q3HT3OcleGVaeM2HAADKtERERERADDKvlRO8NqP5FaNWIjNKhsZVglIiIiImJYJb9hWB0oI1aHSs6sEhERERExrJL/uMMqt645KSMmnGXARERERERgWCU/4szqQJmxOlS39sDu4F6rRERERDSxMayS37DB0kCZsTrYHBK17dy+hoiIiIgmNoZV8puTZcAqP48kcGTGcvsaIiIiIiKAYZX8qL3HCq1agTCV0t9DCRgZrrDKJktERERENNExrJLftPdYWQJ8ipRoLZQKgcoWlgETERER0cTGsEp+w7A6kEqpQJqBHYGJiIiIiBhWyW86emwMq4PIiGVYJSIiIiJiWKVxV9rQibf21gw4zpnVwWXG6rhmlYiIiIgmPIZVGndPfn4M3/vvHpht9n7H23usiGJYHSAjVofmLgu6zDZ/D4WIiIiIyG8YVmnc1bb3wOaQONbU1e94B2dWB+XevqaylbOrRERERDRxMazSuKtrNwEAjtZ39h6zOySMZq5ZHUxGjGuv1WaGVSIiIiKauBhWadzVusNqnbH3WEePFQAYVgfhnlllkyUiIiIimsgYVmlcdVtsaHcF0yP1J8Oq+1iUlmH1VAadGpFhKlS1cq9VIiIiIpq4GFZpXLlLgNVKgaODhFXOrA4khEBGrI4zq0REREQ0oTGs0rhyh9W5k2JwoqUb3RZnh9vesKpjWB0M91olIiIioomOYZW84nBIfHCwzuN9QN3rVVcUJEJK556rAGdWR+Lea1VK6e+hEBERERH5BcMqeayk3oirHt+Kbz67Ezc/vQNWu2PE+9R1OMPq8oJ4ACc7AneYGFaHkxmrg9nmQKPR7O+hEBERERH5BcMqjchktePPHx7BeQ9swpF6I244IwtH6o3456byEe9b294Dg06NyclR0KgUvetWObM6vAx2BCYiIiKiCU7l7wFQYLPaHbj4oc04XGfEpbPT8LPzpyBeH4a6dhP+/lEJzp+RgklxEUPev67dhOQoLZQKgfxEPY7UnQyrGpUCWrXydD2UoNI3rM7LivXzaIiIiIiITj/OrNKw9lW143CdEb+9eDr+cmUR4vVhAIBfXzQNaqUCv3j9wLDrKmvbTUg1hAMACpIie2dWO3qsnFUdRpohHEIAlS3cvoaIiIiIJiaGVRrW1vJmAMB5M1L6HU+O1uLHawuxqaQJb+ypGfL+de0mJEdrATjDam27Ce09VrQzrA5Lq1YiOUrLMmAiIiIimrAYVmlYW8ubMTk5ErERmgG3XbNwEooyDLj37WK0dVsG3G6y2tHcZUFKlDOsFibrATgbNbX3WBGlZRX6cDJidB53XSYiIiIiCjUMqzQki82BHRWtWJQTN+jtSoXAfZfOQFuPFX/7qGTA7Q0dzk62fWdWAWdHYM6sjiwjVseZVSIiIiKasBhWaUj7qtrQY7UPGVYBYEpKFFYUJOCLsqYBt9W0O9dbpkQ716ymGcIRoVHiqGtmlWF1eJmxOtQbTTBZ7f4eChERERHRacewSkPaUtYMIYCF2cN3o52SEomyxi6Ybf1DVV27c49V98yqEAL5SZE4UmdEezfD6kgy48IhJVDVyiZLRERERDTxMKzSkLaUN2NychRiBlmv2tfk5CjYHRKlDZ39jteeElYBoDApEofrOmA02xhWRzAjLRoA8HlJo59HQkRERER0+jGs0qDMNjt2Hm/FopyR9/ickuJci3q41tjveF17DyK1KujDTjZSKkiORGu3FVICUQyrw8pLjMSUlCi8Pky3ZSIiIiKiUMWwSoPac6INZpsDi4dZr+qWFRcBjUqBw3Ud/Y7XtpuQ0mdWFXDOrLpxZnVkFxelYk9lGyqauvw9FCIiIiKi04phlQa1tbzFtV515LCqUipQkKTH4bpTZlY7TEh2NVdyK0jS937OsDqyi4pSIQSG3cuWiIiIiCgUMazSoLaUN2FqShSidZ4FysnJUTh0Shlwbbupd49Vt4TIMBhc12RYHVlKdDgWZsfijT3VkFL6ezhERERERKcNwyoNYLLasetE27Bb1pxqcnIkmjrNaDQ691a12Bxo6jT3a64EODsCu/db9TQIT3QXF6WhvKkL+6ra/T0UIiIiIqLThmGVBth9og0WD9eruk1JiQIAHHGVAjcYTZASSDVoB5zrXrcapWVY9cS5M1KgUSrw+p5qfw+FiIiIiOi0YVilAbaWN0MhgPkj7K/a1+RkV0dgV5Olk3ushg84d0VBAvIS9YjTD78lDjlFh6uxcnIC3tpbC5vd4e/hEBERERGdFgyrNMCW8mZMS432ak1pnD4MiZFhvetW3XusntoNGABWT03CR99fgTCV0jcDngAuLkpDU6cZX5Q1+3soRERERESnBcMq9WOy2rHnRJtH+6ueanJK1CAzqwPDKnlv5eRERGpVLAUmIiIiogmDYZX62VfVDovdgQUebFlzqinJkSip74TN7kBtuwkRGiUiw1TjMMqJR6tW4tzpyfjgQB16LHZ/D4eIiIiIaNwxrFI/eyvbAABFGQav7zs5JRIWuwPHmrpQ19GD5GgthBC+HeAEdnFRGrosdnx6pMHfQyEiIiIiGncMq9TPnqo2pBnCkRAZ5vV9Jyc7OwIfqjOips2ElEGaK9HoLciORZRWhQ1HGv09FCIiIiKiccewSv3srWwb1awqAOQm6KFSCByu7UBdu4nrVX1MpVRgaX48NhxthJTS38MhIiIiIhpXDKvUq7nTjKrWHsxMjx7V/TUqBfIS9ThQ04EGo2nQTsA0NisKElDXYcLR+k5/D4WIiIiIaFx5FFaFEBVCiP1CiD1CiB2uY78WQlS7ju0RQpzX5/yfCiFKhRBHhBDn9Dm+1nWsVAhxl+8fDo3Fvqp2AMCsUc6sAs79Vrcda4ZDshPweFhekAAA2HCU61aJiIiIKLR5M7O6UkpZJKWc1+fYX13HiqSU7wKAEGIqgKsATAOwFsDDQgilEEIJ4CEA5wKYCuBq17kUIPZUtkEhgBlpo5tZBZzb15isDgCD77FKY5MSHY7CpEhsOMp1q0REREQU2sajDHgdgBellGYp5TEApQAWuD5KpZTlUkoLgBdd51KA2FvVhvzESESMYbuZycmRvZ8nR7HB0nhYUZiA7cda0WW2+XsoRERERETjxtOwKgF8KITYKYS4pc/xO4QQ+4QQTwkhYlzH0gBU9jmnynVsqOP9CCFuEULsEELsaGzk7NHpIqXE3so2zMoY/awqAExJier9PNXAmdXxsKIgARa7A1vLm/09FCIiIiKiceNpWF0qpZwDZwnv7UKI5QAeAZALoAhALYA/+2JAUsrHpZTzpJTzEhISfHFJ8kBlSw9au61jWq8KAImRYYjRqaFVKxAdrvbN4KifeVkxCFcrWQpMRERERCHNo7Aqpax2/bcBwGsAFkgp66WUdimlA8A/4SzzBYBqABl97p7uOjbUcTqNatp68NCnpbA7+m99sqeqDQAwK90wpusLITA5OQqp0eEQQozpWjS4MJUSZ+TGMawSERERUUgbMawKISKEEJHuzwGsAXBACJHS57RLABxwff4mgKuEEGFCiGwA+QC2AdgOIF8IkS2E0MDZhOlN3z0U8sT/vX8Yf/zgCN7ZX9vv+N7KNoSpFCjss+Z0tH5xwRT8/tIZY74ODW1FYQKON3ejoqnL30MhIiIiIhoXnnTSSQLwmmuWTAXgeSnl+0KIZ4UQRXCuZ60A8E0AkFIeFEK8BKAYgA3A7VJKOwAIIe4A8AEAJYCnpJQHfftwyO6QMNvs0GkGPrUnmrvx1t4aAMDDn5bighkpUCics5/7qtowPS0aauXYe25NSx3bulca2YreLWwakRUf4efREBERERH53ojJxNW9d5brY5qU8neu49dJKWdIKWdKKS+SUtb2uc/vpJS5UspCKeV7fY6/K6UscN32u/F5SBNXXbsJFzz4Odb8dSOMJuuA2x/fVAaVQoGfrJ2Mw3VGfHLYuVenze7A/ur2MZcA0+kzKS4Ck+J0I5YCf3yoHtsrWk7TqIiIiIiIfGc8tq4hPzhc14FLHt6ME81dqGnrwX3vHe53e6PRjJd2VOGyuWn4xrJspMeE4x+flkJKiaP1nTBZHWPuBEyn14qCBGwpa4bJah9wm83uwO/eKcZNT+/AV/+5FR8fqh/yOqeuXyYiIiIiCgQMqyHg85ImfOWRLXBIiZduXYybl+Xg+S9P4Iuypt5zntp8DDa7A7csz4VKqcCtK3Kxp7INW8qasdfVXKlojJ2A6fRaUZCAHqsdb+6p6Rc427utuPHf2/HPTcdw3aJJmJIShVuf2zkgsJbUG3Hpw5ux+i8b4GBgJSIiIqIA48maVQpg7+yrxXde3I3cBD3+deN8pBrCkROvx4cH63DXK/vx/neXweaQeG7LcZw7IwXZrvWNl89NxwMfl+Afn5YiM1YHg06NzFidnx8NeWNxbhxSorX48Sv7cP/7h7F6SiIW5cThgY9LUN3Wg/+7bAaunJ+J9h4rrnvyS9z63E48eu1cLC9IwOMby/H3j0rgkBI2h8SBmnbMZBk4EREREQUQhtUg98iGUuQkROB/ty1GlNa5r2m4Ron/u2wmrnx8K/784VHE6TUwmm24bUVu7/20aiW+sSwHv3v3EA7WdGBWhoFbzQQZnUaF9d9fgQ1HGvFhcR3eO1CHl3ZUIV4fhhdvWYS5k2IBANHhajx708LewJodH4Gj9Z04f2YKvr0qH+f8bSM2Hm1kWCUiIiKigMKwGuRq2kxYOz25N6i6LcyJw7WLMvHU5mPQh6mwvCAB09P6r0n96sJM/OPTUrT3WFGUzvWqwUgfpsL5M1Nw/swUWGwO7K1qQ058BOL0Yf3OcwfWrz21DdWtPXj02jlYO925+9T0tChsONqIO1bl++MhEBERERENimtWg1iPxY6WLgvSDOGD3n7XuVOQGh0Oo6n/rKpbRJgKNy7JAgDM4nrVoKdRKTA/K3ZAUHWLDlfjlVsX44u7VvUGVQBYnp+AXSfa0DFIB2kiIiIiIn/hzGoQq2nvAQCkGrSD3q4PU+HRa+diS3kTFuXEDnrOLctzEBuhwXLXvp0U2lSD7KO7oiABD39Whi9Km7F2erIfRkVERERENBBnVoNYTZsrrEYPPrMKADPSo3HL8twh16PqNCp8bXEW1IOEGJoY5kyKgT5MNeKerUREREREpxMTShDrDatDlAETeUKtVGBxbhw2Hm2ElNzChoiIiIgCA8NqEKtuM0EIIDl68DJgIk+tKEhAdVsPypu6/D0UIiIiIiIADKtBraatB0mRWpbw0pitcK1Z3shSYCIiIiIKEEw5QaymrWfI5kpE3siI1SE7PoLrVomIiIgoYDCsBjFnWOV6VfKN5fnx2FreDJPV7u+hEBERERExrAYrh0Oipt005B6rRN5aUZgAk9WBHRWt/h4KERERERHDarBq7rLAYnNwZpV8ZlFOHDRKBTaWsBSYiIiIiPyPYTVIcdsa8jWdRoV5WTHYcIRhlYgokBhNVtgd3FqMiCYehtUgdTKsssES+c6ZhQk4Um9EBbewISIKCGabHSv++Bme3VLh76EQEZ12DKtBqtoVVrlmlXzpollpUCoEXtxe6e+hEBERgJL6TrR0WVBc2+HvoRARnXYMq0Gquq0HOo0S0eFqfw+FQkhytBYrCxPx8s4qWO0Ofw+HiGjCO1DdDgCoaTP5eSRERKcfw2qQcm9bI4Tw91AoxFy9IANNnWZ8fKje30MhIprwDtY4Z1TdFVVERBMJw2qQqmkzsbkSjYsVBQlIjtLihW0sBSYi8rcDNc6Z1eq2HjjYZImIJhiG1SBV09aDNDZXonGgUipwxfwMbCxpRFVrt9f377bY+IKKiMgH7A6JQ7UdiNAoYbE50Nxl8feQiIhOK4bVIGSy2tHcZWFzJRo3V8xLBwC85GGjpcqWbjz5+TFc+dgWTL/7A/zto6PjOTwiogmhvLETJqsDZxYmAmApMBFNPAyrQYh7rNJ4S4/RYXl+Al7aUQXbMI2Wqlq7cfFDm7HsD5/i3reL0dZtRU6CHs9vq2SDJiKiMXKXAK+ZlgQAqG5lWCWiiYVhNQi5OwIyrNJ4unpBBuo6TNhwtHHQ2483d+HKx7airLETPztvMj774Zn44HvL8ZO1k9HUacZnRwa/HwWuL8qa8MSmcuyvaoc9QEq591W14f0Dtf4eBpFfHKjuQJhKgeX5CQCA6jbvl2YQEQUzlb8HQN6r4R6rdBqcNSUJ8fowvLCtEmdNSep3W1ljJ67555cw2ex44RuLMD0tuve2MwsTEK8Pw/92VOLsqUmnXpZGyWiyYlNJE6akRCErTufzTuBt3Rbc9twutPdYAQCRWhUWZMXi8rnpOHdGik+/ljd+9tp+HKo14t1v61GYHOm3cRD5w8GadkxJiUJMhAaRYSpuX0NEEw7DahCqbuuBEEBSFBss0fhRKxX4yrx0PLahDN9/aQ8W5cRhcU4cui12XPPEl5BS4sVbFmFyctSA+106Jw1PfX4MTZ1mxOvD/PQIQsv97x3Gf748AQCI0alRlGHAGbnxuGFJFtTKsRfJPPBxKYwmK/5z80I0dZqxtbwFm0oacccLu/FhciRyE/Rj/hreOlTbgQPVzm07fv3mQTz/jYXcrosmDIdD4mB1By4qSgUApMWEo4plwESDajSaccnDm/GHy2bijLx4fw+HfIhhNQjVtPUgMTIMGhWruGl8fWNZDqpae/DZkUa8uqsaAKBUCMRFaPD8LYuQlzj4TNdX5qbj8Y3leH13NW5elnM6hxyS6tpN+N+OKlw4KxVn5MZh94lW7D7Rht+9ewgWuwO3r8wb0/XLGzvxzJYKXDk/A0tcf+TXFaWhqdOM5X/4FH9ZfxQPfXXOmL5GU6cZ/9l6Av/bWYmkKC3WTE3CmmnJyI6PGPI+L++sglop8J2z8vGnD4/inf21uGBm6pjGQRQsKlu7YTTbeitX0gzhbLBENIQ39lSjqrUH7x+sY1gNMQyrQaimvYfrVem0iI3Q4MGrZ8PhkChp6MTW8mYca+rCDWdkIWuYkJGfFImiDANe2lGJm5ZmczZsjB7fWA67lPjxOYXIiNXh6gWZAIDb/7MLf/+oBOdMSxryjQNP3P/eYYSpFPje2QX9jsfrw3DT0mw8+EkpblvR3q/ceyhmmx09FjvMNgfMVgcaO814cdsJvLGnBha7A8vy49HabcF97x3Gfe8dRn6iHj89bzJWTe5fMm61O/D67mqsnpKE287Mw3sH6vC7dw5hZWEiIsL4p4tC38EaZ1XB9FTnz12qIRw7jrf6c0hEAesV1xvq2yv4MxJq+Bc/CNW0mTA1NWrkE4l8RKEQKEyO9GrN4BXzMvCz1/ZjX1U7ZmUYxm9wIa6p04zntx3HJbPTkBGr63fbry+ahs1lTfjRy/vw8q1nQKno/6ZAt8UGnWb4X/Nby5vxYXE9fnROIRIjBy4tuHlZDp7Zchx//vAI/nXjgiGvY7U78ODHJXhkQxms9v7NmcLVSlw5PwM3LMnqLSeuau3GR8X1eGbrcfzgpb347IcrEa1T997n08MNaO6y4Cvz0qFUCNyzbhoue2QLHvq0FD9eO3nYx0QUCg5Ut0OlEChIdv7MpMWEo73Hik6zDXq+YUPUq7imA4dqO5BmCMfhug6091gRHa4e+Y4UFFhHGmSklKhu62FzJQp4F8xKgVatwEs7PNurlQb3xKZjMNsc+NaZuQNuS4gMw90XTsXuE2349xcVvcftDomHPi3FzF9/iBe3nRjy2g6HxG/fKUZqtBY3Lc0e9JzocDVuXZGLT480YntFy6DnlNQbccnDm/HAJ6VYOz0Fv7pgKn53yXT86Suz8NBX52DLT1fh3oun91v3mh6jww1LsvGPq+egvceKv56yN+//dlYhITKstwvq3EmxuGxOOv65qRzHmrqGfEydZhte3VU1rlsnVTR14b397FBM4+tATQfykyIRplICONlUkdvXEPX36i7nkpGfnz8FUgK7WIEQUhhWx8jhw+0dOs023Pz0Dnx6pGHIc5q7LLDYHEiNZnMlCmxRWjXOnZ6CN/fWwGS1+3s4Qamt24Jnt1TggpmpyBmiwdHFRWlYNTkRf/zgMI43d6G2vQfXPLEVf/zgCFRKgX9/UQEpB/899druahyo7sCP106GVq0cchw3nJGFhMgw/OH9w/2uZbU78MSmcpz/4OeoaTPh0Wvn4MGrZ+PrS7NxzcJJuHxuOs6fmQKDTjPktaemRuGrCzPx7NbjOFJnBOCcTf70cAMunZ0GVZ/mUT85txBalRK/euPAoPv/mqx2fOPpHfj+S3vx4vbxe5Pkbx8dxW3/2YUXhnkjgGgspJQ4WN2O6X2qqNzLf2q4bpWol83uwOt7arBqciJWFiZCpRBDvrFKwYlhdQx+9tp+fO+lPT673nv7a/HRoXrc+uzOIX/Q3H+kuGaVgsFX5qXDaLLhg4N1/h5KUPrX5gp0Wey4feXAWVU3IQR+d8l0qBUK3PrcLqz92ybsq2rHHy+fiZ+fPxWH64zYX90+4H4WmwN/WX8UM9OjcdGs4ZsWhWuU+PaqPGyvaMWGo404VNuB375djMX3fYzfvnMIy/Pj8cF3l2Pt9NFtcfODswuhD1PhnrcPQkqJ13dXw+aQuGxuer/zEiO1uOu8ydhU0oSbnt6BTrOt9za7Q+K7L+7BlvJmJEWF4Z8bywcNtL6w7VgLhAB+8fqBIfchJhqL+g4zmrssmNYnrKbHOP/uVzGsEvXaVNqEpk4zLp2TjnCNEtPTohlWQwzD6hhEh6vx5t4alDV2+uR6b+6tQZohHGmGcNz07+04XNcx4ByGVQomi7LjMClOhz9+cAQNRu4P6A2jyYp/bT6GNVOTBmwPdKqU6HD89LwpOFTbgUlxOrzz7WX4yrwMXDQrFWGqwUux39xbg+q2HnxvdQEUipEbYF05PxMZseH45rM7ce7fN+HpLRWYNykWT90wD//82jwkRI5+i6KYCA2+f3YBNpc244OD9Xh5ZxVmpUejIGngGulrFk7CfZfOwOelTbjysS2o7zBBSolfvH4A7x+sw68umIrfXDQdJ1q68d4B379JUtXajZp2E364phD5iXrc/p9dOFQ78Hc10VgccL3B1LepWYI+DBqlgmXARH28srMKMTo1VhYmAgDmZ8Vgb2U7K7pCCMPqGNy8NBthKgUe/rRszNdq6jTji7JmXDw7Fc/ctAA6jQpfe3IbKlu6+51X7doQnGtWKRgoFAIPXj0bLV0W3Piv7f1mwmhoUkr8Zf1RdJhsuGOVZ9vSXL0gA69+6wy8fOsZvdvBRIercd6MFLyxp38ptsMh8eiGMkxOjsSZhQkeXV+jUuA3F01DUYYBv75wKr782Wo8et1crJqc5JNuz9cszERhUiR++uo+HK4z4vJ5GUOee/WCTDxx/Twca+rCJQ9txs9eO4AXtp3A7Stz8fWl2VgzNQk58RF4bGPZkCXQo+V+x35lYSL+deN8RIQp8fV/b0d9B9+MId85WNMBIYApKSffqFIoBFIMWm5fQ+TS3mPFh8X1uGhWau92jvOzYmGxOwatKKLgxLA6BnH6MFyzcBJe31M9IFR66939tbA7JC6alYb0GB2euWkBzDYHrnvyy37rU2raehCuVsKgY5czCg4z0w146Jo5OFxnxG3P7RzXxjehQEqJ371zCP/aXIHrFk3CzHSDR/cTQmBOZsyA/ZfdpdjvHTjZEGj9oXqUNnTitjNzvQqaqyYn4b/fXIwblmQjNmLodaijoVIqcPeFU9HabYVGpcBFI+ynurIwES99czGsDokXtp3AVfMz8MM1hQCcL+pvWZ6DA9Ud2Fza7NNxbjvWikitCoXJkUiJDsdTN8xHR48VX//3dvRY+E4++caBmnZkx0cM2KYpNTqca1aJXN7bXwuLzYFL55xcMjIvKxaAc7kGhQaG1TG6ZXkOlELg4c/GNrv65p4aFCad3BqkICkST90wH/UdZpz5x89w1yv7UN7YiZq2HqQatNy3koLKysJE3HfJDGwqacJPXtnn89muYCSlHNCgzeGQ+NUbB/HE58dwwxlZuGfdtDF/nUXZcciM1eG/roZDUko8/FkZMmN1OH/G6NaYjpcz8uJx/eJJ+PqS7H7b2Axlelo03rh9Ce67dAZ+e/H0fr8XL5mThsTIMDy6YeyVL31tr2jBvEkxvdsETUuNxj++OgfFtR342Wv7+b1NPuFsrjRwX+O0mHCWARO5vLqrGrkJEZiZfvJnJTZCg7xEPdethhCG1TFKitLiivnpeHlnJWrbR/cHpLqtBzuOt+Kiov4zCXMnxeDD7y3HFfPT8eruapz1lw349EgD16tSULpifga+t7oAr+6qxv2ndJWdiL721DbM+e163PnCbry8swp17Sb87LX9eHbrcdyyPAd3XzjVJ29KKRQCV8xLx9byFhxv7sKW8mbsrWzDLctz+nXaDRS/WTcdd53r+T6qqYZwXL0gc8BjCVMp8fWl2fi8tKl3/d9YNXeaUdrQifnZsf2Or5yciO+tLsBru6vx7NbjPvlaNHE1d5pR027q11zJLc0QjnqjCRYbK1RoYqts6ca2ihZcOid9wN/K+Vmx2Hm8FXYf7thB/hN4r1SC0DeX50JK4LEN5aO6/1t7awAAFw5S9pYRq8NvL56BzT9ZhW+dmQu1UoFZHpYFEgWab5+Vh2sWZuKxDeX484dHJ2xgPd7chU0lTciM1WFLWTN++L+9WHTfx3hxeyXuXJWHn5472afVE5fNTYdCAP/bUYVHPitDvD4Ml5/SaTcUfXVhJiLDVD6bXd1e4dy7b0FW7IDb7liZh1WTE3Hv28XYyT3+aAx2n2gDABRlGAbclmYIh5TgGmkKOkfrjT4tYT/s2upsSV78gNsWZMfAaLL1bodGwU018ik0koxYHS6ZneZq8JHndVfMN/fUoCjDgMw43ZDnJESG4UfnTMYP1xSyBJiClhAC966bDrtD4h+flgIAfrCmYMJ9T7+5x/kG1SPXzkVKlBaH6jqw4WgjUqPDcfHsNJ9/vZTocCwvSMDTWypgNNnwkxH2VQ0VUVo1vrooE//cWI7jzV2YFBcxputtr2iBRqXAjPSB5ZkKhcBfryjChf/4HN/6z068feeyMXVIpolrx/FWqJUCswYLq+7ta1p7kBE79GsGokDzjWd2ID8xEk9cP88n12s0mgEAiYP8np3vekNxe0ULpg5SoUDBhTOrPnLbmbmw2h14YpN3s6ulDZ0oru0YcZ9Dt4n2op5Cj0Ih8PtLZuCq+Rn4x6elE26GVUqJ1/dUY0FWLNIM4VAoBKalRuNbZ+aNS1B1u3JeBowmGyK1Kly7KHPcvk6guWlJNlQKBf7p5e/mwWyvaEFRhgFhqsGDfrROjUevnYu2bivufGEXS9BoVHYeb8G01OhB31By7wRwakdgh0NOqN+jFFy6LTYcb+7GrhOtPvs+dW+HF68fGFbTDOFIidZy3WqIYFj1kZwEPS6clYp/fVHh1Z57b+6tgUIAF8wMrEYnROPp1MD6wMel/h7SaVNc24Gyxq4Ba9TH21lTkjApTodbV+QiUjtxuoknRmlx6Zw0/G9HFZo6zaO+TpfZhoM1HYOWAPc1NTUKv7xgKraWt/CFEnnNbLNjb1U75k2KGfT25GgtAAwop/z609txxwu7x318RKNR3tgFAGjpsuDEGHfPcGswmhEboRnQAR9wTuzMz4rF9ooWvokTAhhWfeiXF0yFIVyN25/fhS4P9pOUUuKtvTVYnBuHxCjtaRghUeBwB9bzZ6TgoU9LPfqZCQVv7qmBSiFw3mnuxKtRKbDhRytx+0rP9m0NJd9YngOL3YGnv6gY9TV2nXA261iQPXxYBdD73O46wbWr5J0D1R2w2ByYlzV4WNWqlUiIDOvXEXh/VTs+O9KIDw/WwWiynq6hEnmstKGz9/M9lW0+uWZDh3nQEmC3+dmxqO8wo7KF3bODHcOqD8Xrw/D3q2ajoqkLv3j9wIjv5hTXduBYU5fHJcBEoUahEPjqwkxY7A5sLfftfpiByOGQeHNvDZYXJPh8n1IaWm6CHmumJuGZLcdH/abItmMtUAhgzhAzXn3FRmiQHR+BXcfbRvW1yHOfHm7Aa7ur/D0Mn9l53DkbP9z3WZohvF8Z8JOfl0MhAKtdYsPRxnEfI5G3Shs6oVQIhKuVvQ3ExqrRaBq2L8B81xs+21jhEvQYVn1scW4cvn1WPl7bXY3/7Rz+D6i7Y+Sy/ITTMTSigDQvKwY6jRKfHQn9F1nbK1pQ227CutNcAkzArSty0d5jxYuu/Wa9te2Ycx2hPsyzvoSzMw3YU+m79Vk0UKPRjG+/sBs/fXV/yMwo7qhoRWasDomRQ1dbpcWcDKu17T14e18tvrY4C7ERGnxUXH+6hkrksdKGTkyK1WFmejR2+2pm1Wge9uekIDESOo0SxTWeL82jwMSwOg7uXJWPM3Lj8Ks3DqCkfui22XtOtCEhMgwp0SwBpokrTKXEGblx+OxoQ8i/sH9jbw3C1UqsnpLk76FMOLMzY7AwOxZPbiqH1e7dHpVmmx17Ktt6O0x6Yk5mDJo6LSxBG0d/eP8wOi02mKwOvLu/1t/DGTMpJXYebx1yvaqbe2ZVSomnvzgOh5S4aWk2Vk1OxCeHG7z+/iYab6WNnchN1KMo04DimnaYrPYxXc/hkGg0mpEYNfTMqkIhkBUXgfKmziHPoeDAsDoOlAqBv11ZBH2YCnc8vxuOITpC7qlqw6x0Azv80oS3ojARlS09ONbU5e+hjBuLzfmCes20JER4ODtHvnXrmbmoaTf1bh3kqQPV7TDbHFiQPXIJsNvsTAMArlsdL7tOtOJ/O6twy/Ic5CZE4H87gr8UuKK5G81dFswdYr2qW5ohHBabA5UtPXj+y+NYOz0ZGbE6rJ6ShA6TDduPseyRAofV7kBFUxfyEvWYnREDq12i2ItGpINp7bbA5pDDrlkFgJyEiJB+XTFRMKyOk8QoLX50TiGO1Bt7Ny7uq73HivLGLhRlDNyvj2iiObPAWQo/2lLgreXNY36ndrxtKmlEW7eVJcB+dGZBAiYnR+KxjWVDvok4mG3HnIFznhczq4VJzhI0X4XVY01d/ZqUTGR2h8TdbxxEUlQYvr0qH5fPzcCO462jelEqpcTm0qaA2GbIvTRo3qThv8/c29f87aOj6DDZcNPSHADA8oJ4hKkU+JClwBRAjjd3w+aQyEvQ976Jt2eM61YbevdYHb4yMSc+ApUt3bDYWG0QzBhWx5F7LeqWQRrH7K9qBwAUZXj+Tj1RqMqI1SEnIWJUzUF2Hm/BVY9vxeu7q8dhZL7z+p4axOjUXKPuR0IIfHNFDo7Wd+K9A3Ue3ae+w4T/fHkcBUn6QffzG4pKqcCsdINPwmpbtwVXPrYF1z+1LSBC1enUbbENeGPhpR2V2F/djp+dNwURYSpcOicNCgG8MkKfiMFsr2jFNU98iQ8Pevb9MJ52Hm9BlFaF/ET9sOelusLqq7urMTvTgLmusmGdRoWlefFYX1wf8ksqKHi432TLS9QjKUqLlGjtmNetNrrD6jBlwACQnRABhwROtHB2NZgxrI6jVEM4JsXpsKVsYFjdU+l8ATMjnTOrRACwoiBhVDOkz3/pbJhztD4wZ53sDok/fXAEb+2twbqiNKiV/LXrTxfMTMW01Cj86OW92D1CkGztsuC6J79Ea5cF/3fZTK+/1pxJBhyqNaLbMrZtme5+8yAajGZUt/Vgc2nTmK4V6N7cW4Nfvn4AX/3nViz8/UeY+qsPsPj+j3HPW8XYfaIVrV0W/OH9w1iQHdvbST8pSovlBQl4ZVeV12HevReur7bTGIsdFa2YMykGCsXwS4PSYsJ7P7/ZNavqdvbUJFS39eBQ7dD9MohOp7JG59/mXNebMO7mc2NxcmZ1hDLgeOfXdO/zSsGJr5rG2eKcOHx5rHnAH9A9le3ISYhAdLjaTyMjCixnFibCbPNuC5v2Hive2e9cfxiITRRauyy44V/b8I9PS3HFvHTcde5kfw9pwlMrFfjXjfMRrw/Djf/ejtKGwV/UG01WXP+vbaho7sYT18/H7Ezvq2DmZMbA7pDY56qkGY1399fijT01uGNlHgw6Nf47ym7GwaCp09nd97Xd1ei22LE0LwE/OLsAs9INeG7rcVzy8BdY8n+foMNkw28umtav38NX5magtt2EL8q8C/O7XKW3+6tH/xz5Qlu3BSUNnSM2VwKA6HA1IsNUSDOE45xp/Zu1rZqSCCGAjw6xFJgCQ2lDJ1Kitb2d1IsyDKhs6UFTp3nU12wwmgBg2K1rACArPgIAuG41yLHLxzhbnBuHF7dXorimo3cWVUqJPZVtWF4Q7+fREQWOhdmx0KoV+OxII84sTPToPm/uqYbJ6kBOQkTAvXO6v6odtz63E41GM+6/dAauWpDp7yGRS2KkFs/etACXPbIF1z25Da/cdkZvaSUAmKx23PT0DhTXdOCx6+ZicW7cqL6OO+DuPtGGRTneX6PRaMbPX9uPWenR+O7qfHRb7Hh2awWaO82I86IkOViUuKojHr5mDpYX9C+X7zBZ8eHBery3vxbzsmIxJSWq3+1nTUlEdLgaL++s8rjUXkrZW6Z9oLodUspxaXj44cE6PLv1OB69du6QzdXc45g7wnpVt++eXYCchAioTqnUSIzUoijDgPXF9fj2WfljGziRD5Q2dCKvT2m7+/finhNtWD11dJ3xGzrM0IepoNMMH2Oiw9WI12sYVoMcZ1bH2WLXC5Qt5Sff7a1pN6Gp04yiDIOfRkUUeLRqJRblxGGjh+tWpZR4flslpqVG4YIZKahq7YbZFhhNlqpau3HFY1sAAP+7dTGDagCaFBeBZ76+AJ0mG6578ku8sacaf11/FHc8vwvn/G0jtle04C9XFuGsMWwzFBuhQXZ8xKjWrUop8dNX96PLYsefr5gFlVKBK+dnwGqXeC3A12ePlnuWOz9p4JrNKK0al89Nx5M3zMdtZ+YOuF2rVmJdUSreP1CH9h7P9lw91tSF1m4rZqVHo8NkG5dthiw2B37zVjE2lTThkc/KhjxvR0UrVArh8euCm5ZmY+UQb+qdPTUJ+6vbUdvObZPIvxwOibLGTuQmnPyZnp4aDaVCjKn0vtFoHrEE2C07PvDezCbvMKyOs8QoLXISIvqtW93r+gGdlW7wz6CIAtSZBQkob+rCiebuEc/dV9WOQ7UduGpBJnIS9HBIZ9fBQHDfe4chIfHSrYsxi29KBaypqVF44vp5qGztwXde3IMHPynB/up25Cbo8Y+r5/SuiRyL2ZkG7D7R6lXDGykl/vPlCXx0qB4/PqcQeYmRAIDC5EjMzjTgxe2VIdlAp6ShE/owFZKjRrf3+OVz02G2OfDOPs/2XN3l6kj6tcVZAManFPjlnVWobutBYVIkHt9UPuTvth3HWzEtNQrhGuWYv+Ya12zVR+wKTD5S3tiJa59wrt/3Rm2HCd0We7+Z1XCNEpOTI7F7DOtWG4ymEUuA3XLi9SjnzGpQY1g9DRbnxGF7RStsro2691a2QaNUYHJKpJ9HRhRYVrhmCj472jDiuS9uP4Fw12xKToJzXUogvHu6vaIF7+yrxTeX5/ZuMUGBa2FOHD774Zn44LvLUXzPWmz40Uo8dcN8nD8zxSfXn5MZg6ZOi0ezdjVtPXjo01Ks+vMG/OL1A1iYHYsbl2T3O+eq+RkobegMyf1bS+qd5YKjLcWdkRaNgiQ9/rvDszC/60QrIsNUOH9mCtRK4fOwarE58NCnpSjKMODpry+ASiHwu3eLBz1vb2WbxyXAI8lN0CMrTsctbHzg40P1WPj7jzDj7g96P2bf86FXvRVCwet7avB5aZPHXdTd+nYC7mt2pgF7K9tH3d28wWhGoodvamUnRKCp04wOk2cVFxR4PAqrQogKIcR+IcQeIcQO17FYIcR6IUSJ678xruNCCPGAEKJUCLFPCDGnz3Wud51fIoS4fnweUuBZnBuHTrOt9w/h7so2TE2NQphq7O+gEoWS7PgITIrTYcMI+612mW14c08NLpiZgiitGtmuJgr+brLkcEjc81YxUqK1uHXFwFJFCkyphnAUJkdCq/b97+Q5rvVZw4XLqtZu3Pz0diz5v0/wxw+OIDEyDH+8fCb+feMCKE/pDHvBzFREaJQh2WippKFzxG1bhiOEwPVnZGFvZRve3Fsz4vm7jreiKNMArVqJwuRIHPBxWHXPqn53dT6So7W4fWUePjhY36+js5QSj20og9nmwLws32xlJ4TAqslJ+PJYS8DvPx3I3thTjW8+uxOxEWH4yryM3g+LzYE39oz8/RVKtrgal60v9k1YLcqIQafZ1tsp2BtSSjR0eFcGDADHAuDNbBodb2ZWV0opi6SU81z/vgvAx1LKfAAfu/4NAOcCyHd93ALgEcAZbgHcDWAhgAUA7nYH3FC3qHfdajNsdgf2V7VzvSrREFYUJOCzo434yqNf4PfvHsK7+2tR127qd85be2vQZbH3rgWN1KqRGBl2WmdWK5q6BszevLKrCvur2/GTtZN9Us5Hwa8wORI6jXLQsCqlxP92VGLt3zZhS1kz7lyZh40/Won/fnMxvjIvY9DvoYgwFS6clYq39tbCGEIzBa1dFjR1mgddr+qNq+ZnYlZ6NO59uxjt3UP//zGarDhSb+x9M2FGWjT2u5os+ULfWdUVrmZRNy3NRmasDr956yCsdgeMJitue24X/rz+KM6bkYzVY1gffaql+XGw2BzYURF6M/Cnw7Nbj+O7/92DuZNi8NI3F+FXF07t/ViSF4+NRxtDshR/MF1mG3afaEOYSoHNpc3oNHu+FVdpQycMOjXiIjT9js/ONABwNlnyVqfZhh6r3eOwmpvAjsDBbixlwOsAPO36/GkAF/c5/ox02grAIIRIAXAOgPVSyhYpZSuA9QDWjuHrB414fRgKkvTYUtaM0sZO9FjtmJXB/VWJBvO91QW44Yws2B0S/95cgW/9ZxcW3fcxzv7LBvz27WJsKmnEC9tOoCBJjzmuP3iAu4nC6ZlZ3XC0EWf+6TNc9sgXvXt1dplt+MMHR1CUYfDJWkcKDUqFwKx0w4Cw2tRpxi3P7sSPXt6HqalReP+7y/H9NYXIjNONeM0r52egx2rH2661mVJKmKz2gGkwNhqlrp/d/KSxLY9RKgR+f+kMtHZbcf/7h4Y8b29lO6QE5rq2ipmeFo32HiuqWn3TlKjvrKq7rFmrVuLn50/B0fpO3PfuYax7aDPWH6rHz8+bgoe+Ogcale9WZi3IjoNKIbDZy618CHj4s1L88vUDWFWYiKe/vgCR2v5bDC4rSEB1W8+ECT/bKlpgc0jcsjwHFrvD4yaIAFDW0Im8hIGl/dlxEYjSqka1brXRvcdqlGdhNSNWB4UA160GMU+3rpEAPhRCSACPSSkfB5AkpXR3MagD4H5LMA1A3/qkKtexoY5PCItz4vDSjipsd73LyeZKRIOLidDglxdMBQCYbXYcqjVi+7EWbCxpxDNbjuOJz48BAH51wdR+fwBzEvR474BnjVXG6uND9QhTKXCipQeXPPwFLpqVCr1WhUajGY9dNxcKhe+3v6DgNWeSAY9uKMfuE63YdaINW8ubsbWsGWa7A784fwq+viTbq++ZogwDJidH4rdvF+PPHx5BR48NFrsDsREafP6TlSNu5xCI3NvWjKUM2G1aajRuWpqNxzeW45LZ6ViQPXAt6K4TrRACKHK94TUjzfkG8v7qdmTEjvyGwXAGm1V1WzM1CUvz4vHU5mOI12vw3E0LR7010nD0YSrMzjT0Kzmmkf1r8zH84f0juGhWKv58xSyolQPfQFjh2hpp49FG5CSM/fs10G0pa4ZGqcA3V+Tiua3H8eHBOpw3w7M1/aWNnb0Nv/pSKATmZcVifXEDfn6+rXcPVk80uMNqpGdrVsNUSqTH6E7bm9nke56+jbdUSjkHzhLf24UQy/veKJ21ED6phxBC3CKE2CGE2NHY6Pm7N4FucW4ceqx2PLflOKK0qt4aeiIaWphKiaIMA76xPAfP3rQQe+4+G/+6YT5+dE4hrlqQ0e/c3IQItHVb0eJlt8LR+LykCWfkxuGzH52JO1fl4YODdXj+yxO4uCi1t6yQyG1OZgzsDolLHv4C975djCN1Rpw7Ixlv37kUNy/L8frNDSEEfn7+FKyakoQ105Jx07Js3HBGFlq6LF7NegSSkgYjdBolUqN905Tsu6vzkWYIx89e2w+LzTHg9p3HW5GfqEeUa9asMDnSJ02WjjV14Z63Dw6YVXUTQuD3l8zADWdk4e07l41LUHVbkheP/dXtaOse/9+JoWDbsRb87p1DWD0lCX+9smjQoAoAmXE6ZMXpsLFkYrwRsLm0CXMmGaAPU+GsKUn45HADrPb+P1NdZhu+8+LufjtftHRZ0NJlGbBe1e3OVXlo6jTjH5+UejWek2HV872ms+MjJsxMeCjy6K0MKWW1678NQojX4FxzWi+ESJFS1rrKfN3tO6sB9H0Vme46Vg3gzFOOfzbI13ocwOMAMG/evJBZELAwOw5CAEfqjViWHz8uG48ThTqdRoWVkxOxcvLA/QVPdgTuRGyEb7pqDqaqtRvlTV24dtEk6MNU+MGaQly9IBOv7KzC1Qu5nyoNtCw/Ad9bXYDMuHAszI5Dqg+6RC/LT8Cy/JOzdja7A2/sqcb7B+qwdrpvOhmfTqUNzk7AvqpK0GlU+O0l03Hjv7bjsQ1luPOs/N7bHA6J3Sda+3V8DlMpUZA0uiZLDR0mvLa7Gm/tq8GB6g4AwLqi1AGzqm6ZcTr8+qJpXn8dby3Ni8ffPirB1vLmoPyeOJ0aOky4/fldSI8Jx1+unDWgsdmpluUn4OWdVTDb7CHdLLO1y4Li2g58b3UBAOcevi/vrMK2Yy1Ykhffe96jG8rwxp4afHakEW/esQST4iJ6myvlDhFWZ2fG4NI5aXjq82O4an4GsjycxGnocPaw8HTrGsD5+mB7RQuklHz9HYRGnFkVQkQIISLdnwNYA+AAgDcBuDv6Xg/gDdfnbwL4mqsr8CIA7a5y4Q8ArBFCxLgaK61xHZsQYiI0mJwcBQBsrkQ0DnLinX8Qx3tdyueud9OX5Z/8Q51qCMedZ+UjXu/5H0+aODQqBb6zOh+XzE73SVAdjEqpwNlTk/DxoYZBZxIDnXvbGl9aWZiI82em4MFPS7G/6mQILW/qRIfJhtmnVEFMT/WuyZLdIfHU58ew8k+f4b73DkMpBH5x/hRs+ekq/P2q2X5/UTwrw4AIjRKfsxR4WFa7A3c8vxudJhseu25e72z7cJYXJKDHasfO4+PfwKqp04xHPivzS2fnreXNkBJYkuesAFienwCtWoEPD57sClzV2o3HN5a7JmKAbz67E90W28lOwMOUSt+1djLUSoHfvjNwS6ehNBrN0KgUiA4f+Xlyy4mPQLfF3jsrS8HFkzLgJACfCyH2AtgG4B0p5fsA7gdwthCiBMBq178B4F0A5QBKAfwTwLcAQErZAuBeANtdH/e4jk0Yi11dgblelcj30mPCoVaKQTsCd5isPvtDv6mkCUlRYT5/YU00VmunJ8NotuGLIGuq02Gyoq7DhPxE3+89fs9F05CgD8M3n92Bpk7nC9Vdx9sAYEDJ/vT0aLR1W1HdNnKTpf1V7bj4oc245+1izM2KxUffX4E37nCWdaf4qJR5rNRKBRbmxGFz6cTaE9Rb9793GNsqWnD/ZTNQmOzZ9+DiXGcDq41Hx/dnzWJz4LbnduL/3j+M13ZXj+vXGszmsiZEaJSY6XrdGq5RYmleAtYX1/e+qfN/7x+BEMD9l83Eg1fPxtF6I3708j6UNBgRrlYOu994YpQWd6zKx0eHGrDBwyUMDUYzEvRhXr0ZlO16M3s0W+WQ/40YVqWU5VLKWa6PaVLK37mON0spz5JS5kspV7uDp6sL8O1Sylwp5Qwp5Y4+13pKSpnn+vjX+D2swLSuKBUz0qIxf5BmD0Q0NiqlApPiBnYEtjskLnjgc5z15w3YVDK29Xx2h8TmsiYsy0/w+6wJ0anOyI2HPkyFDw56txeiv7lnYHzRXOlUcfowPHbdXDR3WXD7f3bBandg5/FWGHRq5JxSduhusjRcKbCUEn/+8AjWPfQ56jpMePDq2Xj6xvkB++bVkrx4HGvq8iiAT0SfHK7Hk58fw41LsrCuyPOen/owFeZMihnz35SR3Pt2MbZXtCJKq8IrO6vGfD0pJXZUtOD7L+3BnS/s7u1mP5QvypqxIDu23/rdNdOSUNNuwsGaDuw83oK39tbgluW5SDOEY1l+An6ydjLe2VeL/26vRE5CxIil/V9fmoWsOB3ufbt4wFrYwTQYTR53AnbL4fY1Qc13fdJpRLMyDHjrzqVelS4Qkeey4yMGlAFvO9aCEy3d6LLYcN2T2/Djl/eivefk/ovt3VZsONqIfVVtI17/QHU72rqt/UqAiQKFVq3EysmJ+PBgPewO71o+SCnx+MYybC0//bNwpe5OwGPcY3Uo09Oicf9lM/Clq4HOrhOtmJ1hGPAienJyJFSK4ZssPfxZGR78pBSXzE7HR99fgQtnpQb0G1dLXesK2RV4cC/vrEJylBY/O2+K1/ddUZCAgzUdvVup+NpL2yvx7NbjuGV5Dm47Mw87jrfiePPowpbRZMUzWyqw9m+bcPmjW/DhwXpsONKASx7+Alc9vgUbBtk3tq7dhPLGrn5rUwHgrMmJUAjg/QN1+M1bxUiKCsOtK3J6b79leQ4umJmCbovdozdxwlRK/OL8qSht6MTfPjqKXSdacaC6HaUNxkH3Sm7oMHvVXAkAkqO00KoVOHYa92In3wm+/vZEREPISYjAZ0caYLM7oHK9E/zWvhroNEp89sMz8djGcjy+sRwbjjZiSV489la2ocz1x0unUWLDj1YO27TBvfbr1D/eRIFi7bRkvLW3BjsqWrAwx/NOs2WNXfj9u4ehVAjcs24arlk4aRxH2V9JgxFhKgXSY8a2ZcxwLpmdjv1VHXhqs3Prq3VFA/dC1qqVyE+KxH5Xk6RTvbyzCn/84AguLkrFHy+fGRRbVBUk6RGvD8Pm0iZcMS9j5DsEmNIGI+L1YTDoND6/ts3uwKaSJpw3PWXIzr/DWZ6fgD9+cASflzbiktnpQ55337uHoFUr8b2zCzy+9u4TrfjF6wewNC8ePz6nEI2dZvzhg8N4dVe1V9dxu/6pbdh1og0z06Nx/6UzcOGsVEgAL247gSc2HcP1T23D3EkxeOy6ub29F9zLCU7tWB2nD8O8SbH456ZymG0O/OWKWf22yxJC4A+Xz4TZ5sC5Hjb2OmtKIlYWJuChT8vw0Kdlvccjw1TY+rOzENFna5sGoxmLvPjdBji3ysmKG/hmNgUHzqwSUcjIjdfDapeoanWWvFntDry3vxarpyTBoNPgJ2sn47VvnYHESC0+O9KIrLgI/HBNAR64ejbMNgce+Lhk2OtvPNqIqSlRbKREAevMwgRoVAq872Up8EeH6gEA87Ni8PPXDuCet4q9np0drZKGTuQm6EfswDpWPztvcm/viKG2mJqRFoUDgzRZ2nC0EXe9sg9L8uLwh8tnBUVQBZzBYUmec92qp42jAsXGo41Y/ZeNKLpnPZbc/wlufnoH/rr+qM+2J9tT2QajyYYVhYN3bR7JtNQoxEZosGmYdatljZ14fFM5nvz8GMw2z/omNBrNuO25XUiKDsODV8+GSqlASnQ4luTG49XdVV4/j8U1Hdh1og0/PXcy3rxjKa5akImIMBX0YSrcvCwHG3+8EvddOgMHa9pxxWNbUOMqGd9c2ozYCA2muJqD9rVmWhLMNgdmZRhw8SDl0zqNCv/82jysnZ7s0RiFEHjsunl48ZZF+PeN8/HYdXPxg7MLYDTb+lV7mKx2tPdYvZ5ZBZxvZrMMODgxrBJRyOjdvqbJWVa4ubQJrd1WXDjr5CzKzHRnOf6uX56NJ2+YjztW5eOiWam4ekEGXth2Ysg/Zl1mG3adaMWyAs6qUuCKCFNheX4CPjhQ59WL2o+K6zE9LQrP3bQQNy7JwlObj+Ebz+xAp9k2jqN1KqnvHLcS4L5USgUeuXYOfn3h1CFnnWekRaOly4KadlPvsQPV7bjtuZ3IT4rEo9fOhUYVXC+dluTFo6nTjKP1wdNcRkqJv350FKnRWtx17mTMnRSD481d+PvHJXhu63GffI0NRxuhVIhRV8ooFAJL8+KxsaQJjiHe2Hl8QzmkBDrNtn57kA7nyc+PobHTjMeunYeYiJMzypfOSUNlSw+2V3jXgfiVXVVQK8WQM+salQJXL8jEM19fiMYOM77y6BYca+rCF2VNWJwTN+gbMxfMTMWUlCjcc9E0n71xo1EpsCgnDmcWJuKcacn4xvIchKuV/faOdjdJ83bNKuDcMeBES7dH62IpsATXb1wiomHkuFrkuzsCv7W3FpFaFZZ7EDC/fVY+NCoF/vTBkUFv//JYM6x2iWV5o3sXnuh0WTs9GTXtpmHXXvbV3GnGzhOtWD0lCSqlAndfOA2/vXg6NhxtxC9fPzCuY+0y21Dd1jMuzZUGY9BpcMOS7CFncae7mizd/PQOnP2XDSi650Nc8ODniNFp8O8b5yPSg21NAo07jAXTFjabS5ux+0QbvrUyD7euyMUDV8/G+u+vwJSUKGw75puNJDYebcTsDMOY+ogsL0hAU6cZh+oGlo7Xtvfg1d1VuHJeBiI0SnxwsH7E69nsDry6qworCxMxNbX/jOba6cnQaZR4dZfnjZasdgde312NsyYn9Qu+g1mQHYsXblmEHqsdFz+0GbXtpgElwG7J0Vq8951lmDWOWzFq1Uoszo3r1yXYvfVMYqTW6+tlx0fA7pA40dLtszHS6cGwSkQhIzZCA4NOjfKmLpisdnx4sA5rpyV7tGl7YqQWNy/LwTv7a7Gnsm3A7ZtKmhCmUmBe1uDlg0SBYvWURCgVAu8f8KwU+OPDDZASWD0lqffYtYsm4bpFk/D2vpre2Yzx4N5KIm8ctq0ZjampUViaF48IjRJ5iXpcNCsVPzi7AC/esghJUd6/QA4EaYZwZMdHBE2TJSkl/v7xUSRHafGVef3Xgi7MjsXO461jnh1r7jRjX3U7VhSM7c1Hd7O9l7ZXDrjtyU3H4JDAHavycGZhItYX1w85A+u2qbQJDUYzLp87cA2sTqPCudNT8M6+Wo+3YttwpBHNXZZBrzeY6WnReOmbi6HTOP9m+rs/w4qCBFQ0d6PCVfHU0OH8XTRcb4mhZLs7ArPJUtBhWCWikJId79y+ZsPRRhjNtn4lwCO5ZXkO4vUa3PfuoQEllJtKmrAgOxZa9cjBl8ifDDoNFufE4X0PS4E/Kq5HSrQW006Zybl2USasdomXdgx8Ie4rJePcCdhbYSolnrt5IV6+7Qw8cu1c3LNuOu48Kx8ZsePX/Ol0WJIXh63lzei2jH9Z91htLW/B9opW3HZm7oA3GudnxaLHasfBmsGbYHnq89ImSIlRr1d1S4rS4rpFk/D0luP4X5+fk7ZuC57fdgIXzUpFRqwOa6YloanTjN2DvBHa18s7qhAbocGqyYmD3n7ZnDQYzTasLx55lhZwlgDHRWi8epx5iXq8+q0z8Ph1c5F9yvZOp5v7zYSNri2CGo3O8vxRrVmN5/Y1wYphlYhCSk68HuWNXXhrbw1iIzQ4Y4gypsHow1T49ln5+PJYCz490tB7vLa9B6UNndyyhoLGOdOSUN7UNeILM5PVjk0lTVg9JWnAFix5iZFYlBOL5788MW7NlkoaOqFWCkwK8jAY6C6alYZuix1v76v191BG9MDHJUiMDMOV8weusZyf7axs2XZsbFssbTjSiNgIDaanRo/pOgDwqwunYmlePH722n586WoG9PQXx9FtsePWFbkAgJWTE6FWCnw4TOOztm4L1hfXY11R6pDrohflxCE1WotXXKXAxTUduPftYiy5/xM8s6Wi37mtXRZ8fKgB64rSvO52nBIdjjXTPGuONJ6y4iMwKU6HDUecYbXBaIZCODsSe8ug0yBer8E7+2tPy1p88h2GVSIKKTkJEWgwmrG+uB7nzUju3cLGU1cvyERWnA7feXEPltz/CWbc/QEW3/cJAGBZPterUnBYnOt8Y2V7xfDr+74oa0KP1Y7VU5MGvf3aRZNQ1drTr8mJL5U2GJETr/f655S8Mz8rBnmJejz/5Ql/D2VY2461YEt5M765InfQKpbESC2y4yOw7Zh3TYb6cjgkNpY0Yll+vE+aA6mVCjx0zRxkxOpw63M7cbiuA//+4hhWT0lEYbKzvD1Kq8ainDh8cHDoaoc399bAYncMW7KrUAhcMicNG4824ry/b8J5D2zCM1sqoFEpcPebB/HxoZMzrm/tc17vsrkDu/UGkxUFCfiirBlmmx0NHWbE6cNG3Tn8lxdMxf7qdlzzxJdo6/ZNV2kaf/zrQEQhJde1LsVsc+DCmZ6XALuplQrcd+lMnJEbh0U5cbh8Xjq+c1Y+/nLFLExODox1dUQjyU2IQFyEZsQX9euLGxChUWJRTuygt6+Zmox4fdigHVgPVLf3a34yGiUNp6cT8EQnhMDVCzKxp7INxWMsoR1PD35Sgni9Bl9dkDnkOQuyYrG9omXE9Z9DKa7tQFOnZczrVfuKDlfjqevnQwK4+KHNaO224rYzc/udc860ZFQ0d6O0YfCuzC/vrMLUlChMG2G29/K5GVArFVAqBH5z0TRs+9lqvPPtpZiWGoVvv7Abh2qdz+8rO6swxYPrBboVBQnosdqxo6IVDUbTqEqA3dYVpeGRa+bgUE0HrnxsKxo6Tnb9ttod2Haspff/HwUOhlUiCinujsBJUWGYnzX4C/CRLM6Nw2PXzcOfr5iFuy+chu+dXYBL56QPKJMkClRCCMzLihl2ZtXhkPj4UD1WFCYM2YRMo1LgqvkZ+ORIAyr7dNHcdaIVVzy2BTc/vb23+Ym3TFY7TrR0Iz9AmiuFusvmpEGjUuCFbYE5u7rzeCs2lTThluU5CNcM3RtgfnYs2nusONpgHNXXcb/B4utKmaz4CDx67VzYHRILsmMxd1L/vz9nu6oXPhikFPhInRH7qto9aoSUHR+B/b8+B2/duRTXn5GFmAgNdBoVnvjafOi1Ktz89A58UdaEvVXtuGxOcM+qAs7SZ7VSYMPRRjQYzWMKqwCwZloy/n3jfFS2duPyR7fg6S8q8M1nd2DOPetxxWNb8I1ndvho5OQrDKtEFFImxekQrlbi4qI0n+3/RhSM5mfF4kRLN+r7zB70tb+6HQ1Gc78uwIO5emEmBNAbcg7VduCGp7YhXh8GtVKB+987PKrxvbm3BlJiQGMnGh8GnQbnz0jB67urA7LR0t8+Ooq4CA2uWThp2PMWZjtD4PZRbmGz4UgjpqdFjaqj7EgW5cThzTuW4pFr5gy4LSlKi9mZBnw4SHOkl3dWQqUQWFfkWTXQYGtak6O1ePL6+WjpsuCGp7ZDqRBYVxT8YTUiTIX5WbHY2BtWx96V+4y8ePzn5oVo77Hi7jcPYn9VOy6YlYrzZ6agqrWHa1oDDMMqEYWUMJUS7393Gb53doG/h0LkV+7KgqFmVz86VA+FAFYWDt551C3NEI5Vk5Pw0o5KHK034ront0GnUeE/Ny/EbSty8f7But7GMp5q6DDht28XY0FW7JCdT8n3rl6QCaPZFnCNlrYda8GmkibcuiIXEWGqYc9NjwlHSrQWX44irHaYrNh1otWnJcCnmpISNWQDoDVTk7Gvqh01bT29x6x2B17bXYOzpiSOqnFQX9PTovHXK2fBYnfgzIKEcQnk/rCiIAGH64xo6jQjMco3j2l2Zgw+/eGZ+PgHK7D5rlW479IZvUuHyoYo1Sb/YFglopAzKS6CW8zQhDctNQo6jXLIGaj1xfWYlxWLmAjNiNe6dlEmmjotWPePzZBS4rmbFyIjVoebl+UgJVqL375zyOM1hFJK/OL1AzDbHLj/shmsgDiNArXR0l/XH0W8PgzXLhp+VhVwlrjPz4rFtmMtHm3N1NcXpc2wOSSW+6lZ3pppziqG9cX16LHYsaeyDQ98XIKmTjMunzuw+/ForJ2egv/esgj3XTbDJ9cLBO6td6Qc3bY1Q4mN0CA3Qd+7xCcv0bmMaKh1xeQfDKtEREQhSKVUYE5mDLZXDGyyVNHUhcN1Rqye4tms5vL8BEyK00GlFHj66wt6X9SFa5T40TmF2F/djjf2Vnt0rXf21+LD4np87+yC3jXmdHoEYqOlL8qasKW8Gd86M3fYtap9LciORYPRjBN91lF74tPDDdCHqTBnUsxohjpmuQl65CXqcf97hzHt7vdx8UOb8eAnpZiaEoUzx7jna18Lc+J8Ui4bKAqTIpHkmlFNGMfHNSlOB5VCoLSRYTWQMKwSERGFqHlZMThU14EOk7Xf8Re2n/BqTZtCIfDcTQvx7reXYXpa/+6iFxelYUZaNP7w/hH0WOzDXqely4K73ziIGWnRuHlptncPhnwikBotSSnxt/UlSIoKw1cXDt0B+FQLXOtWvSkFttod+KC4DqunJHq976gvfeesfCwviMcdq/Lx6LVzsenHK/HOt5f6dUyBTgjRW7rtqzLgwaiVCmTFR3BmNcDwJ4OIiChELciKhZTOTqtuFpsDL++owlmTE5EU5fksRUasDhmxugHHFQqBX5w/BbXtJvz94xIcb+5CXbsJrV0WdJlt6Lac/PjNWwfRYbLij1+Zyb1V/cTdaOnVXVX47/YTMFmHf4NhPH1e2oRtFS24Y2WeV0s38hL0iNGpsc2LsPpFWTPauq04fxRbmvnShbNS8dh18/D9swuwdnoyMmJ17DTvgXVFaYjXa5AdFzGuXycvQc81qwFm+FXsREREFLSKMg1QKQS2H2vpbaT0YXEdmrssuNqLmayRLMyJw9ppyXh0Qxke3VA27LnfOSsfk5PZAdif7lyVh0O1HfjJK/vxf+8fwbULM3HtoklI9OLNi7GSUuIv648iNVqLK+Z7t15ToRCY59pv1VNv761BZJgKywvivR0qBYAlefHY8Yuzx/3r5CXqsf5QPSw2x6Bdl+n0Y1glIiIKUTqNCtPSorGjz7rVF7adQJoh3OdNZv52VRE+PdyAHqsdZpsDJqsdFpuj3zkxOg0uCYG9H4NdToIe731nGbaUN+Opzyvw4KeleGxjOZ7/xiLMPU3rOTeVNGH3iTb8/pIZQ+7zO5yF2bFYX1yP+g7TiBUCFpsDHxysw9nTkkb1tWjiyEvUw+6QqGjuQkES94AOBAyrREREIWxBVgye3nIcZpsdtW0mbC5txg/OLoDSx114tWolzp2R4tNr0vgRQuCM3HickRuPiqYuXPPEl/jxy3vxzreXnZZu6h8dqkeERonL56aP6v7udavbjrXgwlnDl/ZuLm1Ch8mGC2by+5OG17cjMMNqYOD8NhERUQibnxULi82BfVXteGGbs7GSt2WXFNqy4iPw+0tnoKyxCw9+UnJavubO460oyjSMutRyakoUYnRqPPBxCVq6LMOe+9a+GkRpVVia558tayh45CQ418SyyVLgYFglIiIKYfOynDNQm0ub8L+d3jdWoolhRUECLp+bjkc3lONAdfu4fq0usw2HajswN3P0JccqpQIPXzMXx1u6cf1T22A8peO1m9lmx/qD9ThnWjLXINKIdBoV0gzhDKsBhD+1REREISw2QoO8RD2e3HQMLT5urESh5ZfnT0VshAY/fnkfrHbHyHcYpb2VbXBIjHm/08W5cXjkmjk4VNuBm57eMejWSZuONsFotuF8lgCTh/IS9QyrAYRhlYiIKMTNz4qF0Wwbl8ZKFDqidWrcu246ims78PjG8nH7Ou6tlGaPYWbV7awpSfjrlUXYXtGC2/6zc0BTr3f21yI6XI0leewCTJ7JS9SjvKkTDof091AIDKtEREQhb0G2MxRcNT/D542VKLSsnZ6M82ek4O8flaC0wTguX2PH8VYUJOkRHa72yfUunJWK318yA58dacSVj2/B5tImSClhstqxvrgea6clQ819fclDeYl6mKwOVLf1+HsoBIZVIiKikLd6ShJuWpqN6xZP8vdQKAj8Zt00aNUK/PrNYkjp29klh0Ni14lWzJ0U69PrXr0gE3+9chZq20y45okvccVjW/DgJyXoNNtwwSyWAJPn+nYE7uvzkiac/8AmdFts/hjWhMWwSkREFOIitWr88oKpMOg0/h4KBYF4fRh+eE4hPi9twvsH6nx67dLGThhNtnHZz/WS2enY8OMzce+6aahs6cFDn5YhRqfG4pw4n38tCl15CYOH1Yc/K8XBmg4cqh2figMaHPdZJSIiIqJ+vrogE89/eQL3vl2MMwsTEa7xzd6r7vWq4xFWASBMpcR1i7NwxfwMvLqrGgn6MKhYAkxeiInQIC5C0y+sHmvqwhdlzQCA0gbjuH3/0kD86SUiIiKiflRKBe5ZNx017SY8/Fmpz66783grYiM0yIrT+eyagwlTKXH1gkysnpo0rl+HQlNuoh6ljSfD6ouuPao1SgVK6tkp+HRiWCUiIiKiARZkx+LiolQ8trEcx5u7fHLNXcdbMSczBkKw0RcFLvf2NVJKmG12/G9nFVZPSUR+kh4l3NbmtGJYJSIiIqJB/fS8KVArBO59u3jM12rpsqC8qYsllBTw8hL0aO+xoqnTgg8P1jv3qF6QifxEPUrquWb1dGJYJSIiIqJBJUVp8Z3V+fjoUAM+O9IwpmvtGuf1qkS+0rcj8AvbTvTuUZ2fFImadhOMJqufRzhxMKwSERER0ZBuOCMbaYZwPPxp2aC3Synxrf/sxPdf2gOHY+itbnYcb4VKITAzPXq8hkrkE+6w+vGhenxR1oyrF2RAoRDIdx0va/RNWTyNjGGViIiIiIakUSlw45IsbKtowb6qtgG3f3msBe/ur8Oru6rxyIbBAy3gnFmdlhYNrdo3nYWJxktKtBYRGiWe2XIcSoXAFfMyAAD5SZEAwFLg04hhlYiIiIiGdeX8DOjDVHjy82MDbvvHJ6WI14fh/Bkp+POHR7CppHHAORabA3ur2jA3kyXAFPiEEMhN1MNid2D1lEQkRmkBABkx4dCoFGyydBoxrBIRERHRsCK1alw5PwPv7KtFTVtP7/FdJ1rxeWkTblmejT9+ZSbyEyPx7Rd2o7rPOQBQXNsBs82BeVkMqxQc8hKcJb9XL8jsPaZSKpATH8GZ1dOIYZWIiIiIRnTDGVlwSImnt1T0Hnvok1LE6NS4ZuEk6DQqPHLtHNjsErc9txMmqx1GkxWbS5t6Z2TZXImCxXkzUnDu9GQsz0/odzw/KZIzq6eRyt8DICIiIqLAlxGrw7nTU/D8lyfw7VX5ONbUhY8PN+CHawoQEeZ8SZmToMefr5iFW57dieV/+BSNnWZIV8+lFQUJSHKVUxIFutVTk7B6atKA4wWJery1twbdFht0Gkap8cb/w0RERETkkZuWZeOd/bV4eWcVvjzWjEitCl87I6vfOWumJePn503BlvJmzEo3YHamAbMyDIgOV/tn0EQ+lJ90clubmekG/w5mAmBYJSIiIiKPzMmMwZxMAx78pBTNXWbcsTIPUdqBIfQby3PwjeU5fhgh0fjKS3R3BB57WH1jTzUAYF1R2liHFbK4ZpWIiIiIPHbT0hw0dZoRrlbixiXZ/h4O0Wk1KU4HtVKMed2qyWrHz17dj++8uAd//vAIpBx6j+KJjGGViIiIiDx2zrQkzEiLxq0rchEbofH3cIhOK7VSgZx4PUobRu4I/M6+WjR1mge9bePRRnRZ7Jg3KQYPflKKn722Hza7w9fDDXoMq0RERETkMZVSgbfuXIpvn5Xv76EQ+UVekh5H64efWX13fy1uf34X/vTBkUFvf+9AHQw6NZ7/xiLcuSoPL2yrxG3/2QWT1T4eQw5aDKtEREREREQeyk/Uo7K1Gz2WwYNla5cFv3rjAADgzb01MJqs/W432+z4qLgea6YmQaNS4AdrCvHrC6fio0P1uPDBz/GfL4+j02zrd59uiw3vH6jFi9tOjM+DClBssEREREREROSh/MRISAmUNXZielr0gNvvebsYbd1W3HfpDPz01f14c28Nrlk4qff2z0uaYDTbcO6MlN5jNyzJRlqMDn/+8Ah+/toB/P6dQ7h4dhqmpkbh08MN2FTSBLPNWSa8ODcOk+Iixv+BBgDOrBIREREREXmo7/Y1p/rkcD1e212N21fm4ar5GZicHIkXTpkNfWd/LaK0KizJje93/OypSXjvO8vw6rfOwNrpKXh5ZxV+/toBHKo14uoFmbj34ukAgL1V7eP0yAIPZ1aJiIiIiIg8lBUXAZVCoOSUJksdJit+9uoBFCZF4vaVeRBC4KsLM/GrNw5iX1UbZqYbYLE5sL64HmumJkOjGjhvKIRwbREVg19eMAVNnWbkJughhIDV7sC9bxdjX2UbLpqVeroerl9xZpWIiIiIiMhDGpUCWfERA5os3ffuYTQYTfjD5TN7g+jFs9OgVSt6Z1c3lzXBaLLh/JnJI34dg06DvMRICCEAODsRT0+Nwt6qNt8+oADGsEpEREREROSF/ER9bxlwSb0RtzyzAy9sO4Gbl+VgVoah97worRoXzkzFG3ucjZbe3VeLyDAVluTFD3Hl4c1MN+BAdceE2eaGYZWIiIiIiMgL+Yl6HG/uwg9e2otz/rYRX5Q14/tnF+CHawoHnPvVhZnottjx6q5qfFhcj7OnJiFMpRzV1y3KMKDHakfJIOtlQxHXrBIREREREXkhPykSDgm8ta8GNy3Nxm1n5iE2QjPouUUZBkxOjsQfPziCzlO6AHtrZrqz+/C+qjZMSYka9XWCBWdWiYiIiIiIvHD21CT8+sKp+OyHZ+Ln508dMqgCzqZJ1yzMRKfZBn2YCsvyR1cCDDibO0VpVdhTOTE6AjOsEhEREREReUGrVuKGJdlINYR7dP662WnQaZQ4e2oStOrRlQADgEIhMCvDgL2VbaO+RjBhGTAREREREdE4itKq8eYdSxCvDxvztWamR+PRDeUwWe1jCr7BgDOrRERERERE4ywvMRIG3dDlwp6alW6A3SFxsCb0S4E9DqtCCKUQYrcQ4m3Xv/8thDgmhNjj+ihyHRdCiAeEEKVCiH1CiDl9rnG9EKLE9XG9zx8NERERERFRCCtybY2zdwKsW/WmDPg7AA4B6Nt26kdSypdPOe9cAPmuj4UAHgGwUAgRC+BuAPMASAA7hRBvSilbRzt4IiIiIiKiiSQxSovkKC32VrX5eyjjzqOZVSFEOoDzATzhwenrADwjnbYCMAghUgCcA2C9lLLFFVDXA1g7ynETERERERFNSLMyorGvKvRnVj0tA/4bgB8DcJxy/HeuUt+/CiHcq4XTAFT2OafKdWyo40REREREROShmekGHGvqQnu31d9DGVcjhlUhxAUAGqSUO0+56acAJgOYDyAWwE98MSAhxC1CiB1CiB2NjY2+uCQREREREVHIcK9b3Vfd5tdxjDdPZlaXALhICFEB4EUAq4QQz0kpa12lvmYA/wKwwHV+NYCMPvdPdx0b6ng/UsrHpZTzpJTzEhISvH5AREREREREoWxGejQAhPx+qyOGVSnlT6WU6VLKLABXAfhESnmtax0qhBACwMUADrju8iaAr7m6Ai8C0C6lrAXwAYA1QogYIUQMgDWuY0REREREROShKK0aOQkR2Bvi61a96QZ8qv8IIRIACAB7ANzqOv4ugPMAlALoBnAjAEgpW4QQ9wLY7jrvHillyxi+PhERERER0YRUlG7AptImSCnhnD8MPV6FVSnlZwA+c32+aohzJIDbh7jtKQBPeTVCIiIiIiIi6mdmejRe3V2NLeXNOCM33t/DGReedgMmIiIiIiKiAHHezBRkxenwtSe34V+bj8E5ZxhaGFaJiIiIiIiCTGKkFm/csRRnFibgN28V4zsv7kG3xebvYfkUwyoREREREVEQig5X4/Hr5uFH5xTirX01uPihzWjqNPt7WD7DsEpERERERBSkFAqB21fm4d83LkBJQyf+vbnC30PyGYZVIiIiIiKiILeiIAFnTU7Ei9tPwGyz+3s4PsGwSkREREREFAKuXTQJTZ0WvH+gzt9D8QmGVSIiIiIiohCwPD8Bk+J0eHbLcX8PxScYVomIiIiIiEKAQiFw7cJJ2HG8FcU1Hf4ezpgxrBIREREREYWIr8xLR5hKgee+DP7ZVYZVIiIiIiKiEGHQaXDRrFS8vrsaHSarv4czJgyrREREREREIeS6xZPQbbHj1Z1V/h7KmDCsEhERERERhZCZ6QbMyjDg2a3HIaX093BGjWGViIiIiIgoxFy3aBLKGruwpazZ30MZNYZVIiIiIiKiEHPBzBRMTo5Ea3fwrltV+XsARERERERE5FtatRLvfWcZhBD+HsqocWaViIiIiIgoBAVzUAUYVomIiIiIiCgAMawSERERERFRwGFYJSIiIiIiooDDsEpEREREREQBh2GViIiIiIiIAg7DKhEREREREQUchlUiIiIiIiIKOAyrREREREREFHAYVomIiIiIiCjgMKwSERERERFRwGFYJSIiIiIiooDDsEpEREREREQBh2GViIiIiIiIAg7DKhEREREREQUchlUiIiIiIiIKOAyrREREREREFHAYVomIiIiIiCjgCCmlv8cwJCFEI4Dj/h7HCOIBNPl7EDQoPjeBi89N4OJzE7j43AQuPjeBi89N4OJzE7hO93MzSUqZMNgNAR1Wg4EQYoeUcp6/x0ED8bkJXHxuAhefm8DF5yZw8bkJXHxuAhefm8AVSM8Ny4CJiIiIiIgo4DCsEhERERERUcBhWB27x/09ABoSn5vAxecmcPG5CVx8bgIXn5vAxecmcPG5CVwB89xwzSoREREREREFHM6sEhERERERUcBhWB0DIcRaIcQRIUSpEOIuf49nohJCZAghPhVCFAshDgohvuM6/mshRLUQYo/r4zx/j3WiEkJUCCH2u56HHa5jsUKI9UKIEtd/Y/w9zolECFHY52djjxCiQwjxXf7c+I8Q4ikhRIMQ4kCfY4P+nAinB1x/f/YJIeb4b+Shb4jn5o9CiMOu//+vCSEMruNZQoiePj9Dj/pt4BPAEM/NkL/HhBA/df3cHBFCnOOfUU8MQzw3/+3zvFQIIfa4jvPn5jQZ5nVzQP69YRnwKAkhlACOAjgbQBWA7QCullIW+3VgE5AQIgVAipRylxAiEsBOABcDuAJAp5TyT/4cHznDKoB5UsqmPsf+AKBFSnm/682eGCnlT/w1xonM9fusGsBCADeCPzd+IYRYDqATwDNSyumuY4P+nLhefN8J4Dw4n7e/SykX+mvsoW6I52YNgE+klDYhxP8BgOu5yQLwtvs8Gl9DPDe/xiC/x4QQUwG8AGABgFQAHwEokFLaT+ugJ4jBnptTbv8zgHYp5T38uTl9hnndfAMC8O8NZ1ZHbwGAUillufz/9u4exK4iDOP4/8HVFBGxULZIFFaJdWIlaCTgBwYki1YbRCMKGkgKsRDUQrASQVsLSSBFPoxocAs/YqXVakgsNEYwUYMbrhvQQiGgxjwWZzbcXe9d4sK9Z8h5fs2eM+zHC8M7M++5c2btv4BDwHTLMXWS7Z7tE+X6D+AUsK7dqOIKTAP7yvU+moEy2nEfcMb22bYD6TLbnwO/LWselifTNAtA254DbiwLkBiBQX1j+6jti+V2Dlg/9sBiWN4MMw0csv2n7R+B0zTruRiBlfpGkmg+VDg41qBipXVzlfNNitXVWwf83Hc/Twqk1pUnc5uAL0rT7rJlYW+2mbbKwFFJxyU9U9ombffK9S/AZDuhBTDD0gVD8qYew/Ikc1BdngI+6rufkvSVpM8kbW4rqI4bNI4lb+qxGViw/X1fW/JmzJatm6ucb1KsxlVD0vXAe8Bztn8H3gJuBzYCPeCN9qLrvHts3wlsBXaVrUGXuXkfIe8ktEDSdcA24N3SlLypVPKkTpJeBi4C+0tTD7jV9ibgeeCApBvaiq+jMo7VbztLH5Imb8ZswLr5sprmmxSrq3cOuKXvfn1pixZIupYm4fbbfh/A9oLtf2xfAt4mW31aY/tc+XoeOELTFwuL20jK1/PtRdhpW4ETthcgeVOhYXmSOagCkp4EHgYeK4s7yhbTX8v1ceAMcEdrQXbQCuNY8qYCkiaAR4F3FtuSN+M1aN1MpfNNitXVOwZskDRVPpmYAWZbjqmTynsPe4BTtt/sa+/fT/8I8M3yn43Rk7S2vMCPpLXAgzR9MQvsKN+2A/ignQg7b8nT7eRNdYblySzwRDml8S6aQ0p6g35BjIakh4AXgG22L/S131wOLUPSbcAG4Id2ouymFcaxWWBG0hpJUzR98+W44wvuB76zPb/YkLwZn2HrZiqdbybG9YeuNuX0v93AJ8A1wF7bJ1sOq6vuBh4Hvl48Ah14CdguaSPNNoafgGfbCC6YBI40YyMTwAHbH0s6BhyW9DRwluaghRij8vDgAZbmxuvJm3ZIOghsAW6SNA+8ArzG4Dz5kOZkxtPABZpTnGNEhvTNi8Aa4NMyvs3Z3gncC7wq6W/gErDT9pUeABT/05C+2TJoHLN9UtJh4Fuardu7chLw6AzqG9t7+O85CZC8Gadh6+Yq55v865qIiIiIiIioTrYBR0RERERERHVSrEZERERERER1UqxGREREREREdVKsRkRERERERHVSrEZERERERER1UqxGREREREREdVKsRkRERERERHVSrEZERERERER1/gXGDSwldjwIVAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df['close'].plot(figsize=(16,8))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_ma_sma = get_df_smas(df, [5, 12])\n",
    "plot_curve(df_ma_sma)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_ma_sma.to_csv('analy_eg.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "ERROR: Could not find a version that satisfies the requirement upgrade (from versions: none)\n",
      "ERROR: No matching distribution found for upgrade\n"
     ]
    }
   ],
   "source": [
    "!pip install upgrade numpy"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
